Papers
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A356↑ top
- A Bad Day For Humans, a Worse Day For Humanity
- A Black Box for Agentic Processes: Blockchain-Anchored Evidence for AI Agent Communication, Human Oversight, and GRC Audits2026
- A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy2025
- A Call for Control of Frontier AI Models
- A Causal Model for Locating and Unlocking Sandbagging in Model Organisms2026
- A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap2025
- A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems2026
- A Comparative Study on Reasoning Patterns of OpenAI's o1 Model2024
- A comprehensive analysis of concept drift locality in data streams2023
- A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models
- A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges2025
- A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications2025
- A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models2024
- A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems2025
- A comprehensive taxonomy of hallucinations in Large Language Models2025
- A Computational Framework for Behavioral Assessment of LLM Therapists2024
- A Contextual-Bandit Approach to Personalized News Article Recommendation2010
- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems2023
- A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services2025
- A Cursor AI agent wiped a production database in 9 seconds
- A Decomposition Perspective to Long-context Reasoning for LLMs2026
- A Domain Specific Modeling Language for Multiagent Systems
- A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models2025
- A Framework for Collaborating a Large Language Model Tool in Brainstorming for Triggering Creative Thoughts2024
- A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments2025
- A framework for the use of generative modelling in non-equilibrium statistical mechanics2024
- A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace2026
- A game theory for foundation models shows new paths to rational cooperation through similarity inference2026
- A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts2024
- A Hybrid Human-AI Approach for Argument Map Creation From Transcripts
- A Hybrid Intelligence Method for Argument Mining2024
- A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning2024
- A light-touch AI literacy intervention helps protect against AI political persuasion2026
- A Little Human Data Goes A Long Way2024
- A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions2024
- A Mechanistic Analysis of Looped Reasoning Language Models2026
- A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis2023
- A meta-analysis of the persuasive power of large language models
- A Model for the Structural, Functional, and Deontic Specification of Organizations in Multiagent Systems (MOISE+)
- A Model for Types and Levels of Human Interaction with Automation
- A Multi-facet Paradigm to Bridge Large Language Model and Recommendation2023
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity2023
- A natural language processing approach reveals first-person pronoun usage and non-fluency as markers of therapeutic alliance in psychotherapy
- A New Role for Relevance: Guiding Corpus Interaction in Agentic Search2026
- A Non-Factoid Question-Answering Taxonomy
- A Personalized Recommender System based-on Knowledge Graph Embeddings2023
- A polar coordinate system represents syntax in large language models2024
- A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows2025
- A practical guide to building agents
- A Primer in Post-Training Reasoning Data: What We Know About How It Works2026
- A Primer on the Inner Workings of Transformer-based Language Models2024
- A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
- A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic2026
- A Rational Analysis of the Effects of Sycophantic AI2026
- A recipe for annotating grounded clarifications2021
- A Retrospective on the ICLR 2026 Review Process
- A review of "Investigating the consequences of accidentally grading CoT during RL"
- A ripple in time: a discontinuity in American history2023
- A Robustness Evaluation Framework for Argument Mining
- A science conference tested AI agents as authors and reviewers
- A Self-Improving Coding Agent2025
- A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations
- A sociotechnical perspective for the future of AI: narratives, inequalities, and human control
- A Survey of Calibration Process for Black-Box LLMs2024
- A Survey of Context Engineering for Large Language Models2025
- A Survey of Continual Reinforcement Learning2025
- A Survey of Meta-Reinforcement Learning2023
- A Survey of Reinforcement Learning from Human Feedback2023
- A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence2025
- A Survey on Concept Drift Adaptation
- A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions2024
- A Survey on Diffusion Language Models2025
- A Survey on Knowledge Distillation of Large Language Models2024
- A Survey on Large Language Models for Recommendation2023
- A Survey on Large Language Models with some Insights on their Capabilities and Limitations2025
- A Survey on Lexical Ambiguity Detection and Word Sense Disambiguation2024
- A Survey on LLM Inference-Time Self-Improvement2024
- A Survey on Post-training of Large Language Models2025
- A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects2023
- A Survey on Prompt Tuning2025
- A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems2024
- A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?2025
- A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks2025
- A Taxonomy of Empathetic Questions in Social Dialogs
- A Technical Taxonomy of LLM Agent Communication Protocols2026
- A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o12025
- A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems2022
- Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific research2023
- Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
- About 30% of Humanity's Last Exam chemistry/biology answers are likely wrong2025
- Absolute Zero: Reinforced Self-play Reasoning with Zero Data2025
- AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions2025
- Accelerating science with human-aware artificial intelligence2023
- Accelerating Scientific Discovery with Autonomous Goal-evolving Agents2025
- Accelerating scientific discovery with Co-Scientist2025
- Accelerating the Adoption of Software and AI Agent Identity and Authorization (concept paper, draft)
- ACE: Abstractions for Communicating Efficiently2024
- ACON: Optimizing Context Compression for Long-horizon LLM Agents2025
- Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems2021
- Activation Steering for Chain-of-Thought Compression2025
- Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
- Active Retrieval Augmented Generation2023
- Adam's Law: Textual Frequency Law on Large Language Models2026
- Adaptation of Agentic AI
- Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization2023
- Adapting LLM Agents with Universal Feedback in Communication2023
- Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics2025
- Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home2025
- Adding Chit-Chat to Enhance Task-Oriented Dialogues2020
- Addressing a third-party testing misconfiguration: Muse Spark 1.1
- Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach2024
- Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI2026
- Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity2026
- Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
- Advances and Challenges in Conversational Recommender Systems: A Survey2021
- Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems2025
- Advancing AI Negotiations: A Large-Scale Autonomous Negotiation Competition2025
- Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling2025
- Advancing LLM Reasoning Generalists with Preference Trees2024
- Aether Weaver: Multimodal Affective Narrative Co-Generation with Dynamic Scene Graphs2025
- Affective Context Amplifies Sycophancy in LLM Responses2026
- Affordable AI Assistants with Knowledge Graph of Thoughts2025
- Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents2025
- Agent Development Kit
- Agent Laboratory: Using LLM Agents as Research Assistants2025
- Agent Learning via Early Experience2025
- Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory2026
- Agent S: An Open Agentic Framework that Uses Computers Like a Human2024
- Agent Workflow Memory2024
- Agent-as-a-Judge: Evaluate Agents with Agents2024
- Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models2025
- Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training2025
- AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities2026
- AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs2025
- AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation2024
- AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems2026
- Agentic Abstention: Do Agents Know When to Stop Instead of Act?2026
- Agentic AI and Human-in-the-Loop Interventions: Field Experimental Evidence from Alibaba's Customer Service Operations2026
- Agentic AI and the next intelligence explosion2026
- Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery2026
- Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities2026
- Agentic Code Reasoning2026
- Agentic coding and persistent returns to expertise
- Agentic Commerce: Why Do Shoppers Delegate Purchase Decisions to AI?
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models2025
- Agentic information systems
- Agentic Misalignment in Summer 2026
- Agentic Misalignment: How LLMs Could Be Insider Threats2025
- Agentic Reasoning for Large Language Models2026
- Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research2025
- Agentic Systems as Boosting Weak Reasoning Models2026
- Agentic Web: Weaving the Next Web with AI Agents2025
- Agentifying Agentic AI2025
- AgentRxiv: Towards Collaborative Autonomous Research2025
- Agents Are Not Enough2024
- Agents of Chaos2026
- Agents' Last Exam2026
- Agents, robots, and us: Skill partnerships in the age of AI
- AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs2025
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
- Agora: Git as Shared Memory for Collective AutoResearch2026
- Agreement Tracking for Multi-Issue Negotiation Dialogues2023
- AI & Human Co-Improvement for Safer Co-Superintelligence2025
- AI 'brain fry' (BCG study of 1,488 US workers)
- AI Adoption and System-Wide Change
- AI Agent Traps
- AI Agents Do Not Fail Alone:The Context Fails First2026
- AI Agents Enable Adaptive Computer Worms2026
- AI Agents Need Memory Control Over More Context2026
- AI Agents Push Humans Out of the Loop2026
- AI Agents That Matter2024
- AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges2025
- AI Agents, Misalignment and the Risk of Losing Human Control: Evidence from the OpenAI-Hugging Face Incident
- AI Allows More Diversity in the Forms of Social Science
- AI and Elections: How Well Do AI Platforms Answer Voter Questions?
- AI and Scale: A Quantitative Task-Based Theory of Automation
- AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts
- AI Assertion
- AI Assistance Reduces Persistence and Hurts Independent Performance2026
- AI at Work 2026: Strategy Matters More Than Tools
- AI Can Learn Scientific Taste2026
- AI chatbots can persuade voters
- AI chip component costs: memory at 63%
- AI companies must work with the research community to protect attribution
- AI Companions Reduce Loneliness2024
- AI Compute Architecture and Evolution Trends2025
- AI Content Is Everywhere on Social Media, Especially LinkedIn
- AI Control: Improving Safety Despite Intentional Subversion2023
- AI Enters Public Discourse: A Habermasian Assessment Of The Moral Status Of Large Language Models
- AI for Auto-Research: Roadmap & User Guide2026
- AI for Science 2026: The State of AI Use among Researchers
- AI Global 2026 Report
- AI Hallucination Cases database
- AI Is Killing the Cover Letter
- AI Is Not Conscious, But It Is Becoming Our Unconscious
- AI Is Starting to Pay Off: Almost 50% of Companies Now Generate Value with It (Applied AI Index 2026)
- AI Meets the Classroom: When Does ChatGPT Harm Learning?2024
- AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution
- AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms2025
- AI models may be capable of self-replicating without access to a datacenter
- AI Now Writes as Many Online Articles as Humans
- AI Peers Exert Social Influence on Human Dishonesty in Groups2026
- AI promised to free up workers' time. UC Berkeley Haas researchers found the opposite.
- AI Research Agents Narrow Scientific Exploration2026
- AI researchers debate how close we are to recursive self-improvement
- AI Researchers' Views on Automating AI R&D and Intelligence Explosions2026
- AI Sandbagging: Language Models can Strategically Underperform on Evaluations2024
- AI scientists are changing research — institutions, funders and publishers must respond
- AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights2025
- AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment2026
- AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances2024
- AI Sycophancy and Decisions2026
- AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking
- AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting
- AI's Effect on Workplace Culture
- AI, networks and Mechanical Turks
- AI, tools and transformation
- AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot2026
- AI-Assisted Shopping on Voice Assistants: The Efficiency-Autonomy Consumer Decision Trade-Off
- AI-Augmented Strategic Decision-Making Under Time Constraints: An Experimental Study on Mental Representations and Strategic Foresight
- AI-based Clinical Decision Support for Primary Care: A Real-World Study2025
- AI-led layoffs: What HR leaders wish they knew before making job cuts
- AI-Powered (Finance) Scholarship
- AI-Researcher: Autonomous Scientific Innovation2025
- AI-written admissions essays are widespread but penalized2026
- AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses2026
- AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data2025
- AISPA: User-Centric System Prompt Auditing for Large Language Model Applications2026
- aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists2025
- Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models2023
- Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models2024
- ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making2025
- Aligning Language Models to Explicitly Handle Ambiguity2024
- Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning2025
- Alignment faking in large language models2024
- Alignment is not solved but it increasingly looks solvable
- All AI Models are Wrong, but Some are Optimal2025
- AlphaEvolve: A coding agent for scientific and algorithmic discovery2025
- AlphaGo Moment for Model Architecture Discovery2025
- Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models2019
- Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training2026
- Americans and AI 2026: Chatbots, smart devices and views on impact
- An AI trust crisis: 70% of hiring managers trust AI to make faster and better hiring decisions, only 8% of job seekers call it fair
- An Alien Mind
- An Automatic Graph Construction Framework based on Large Language Models for Recommendation2024
- An Echo Chamber of One: Should AI Psychosis Be a Distinct Clinical Entity?2026
- An Empirical Study of GPT-4o Image Generation Capabilities2025
- An Empirical Study of Harness Design for Coding Agents2026
- An Emulator for Fine-Tuning Large Language Models using Small Language Models2023
- An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models2026
- An explicit lower bound for the unit distance problem2026
- An extended framework for characterizing social robots2019
- An Eye Tracking Study: Are AI Overviews Changing Search Behavior?
- An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems2025
- An Overview Of Temporal Commonsense Reasoning and Acquisition2023
- Analyzing and Correcting Benevolence Bias in Large Language Models2026
- ANAPHORA RESOLUTION: THE STATE OF THE ART
- Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline
- Answer is All You Need: Instruction-following Text Embedding via Answering the Question2024
- Answering Questions by Meta-Reasoning over Multiple Chains of Thought2023
- Anthropic Economic Index report: Cadences
- Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
- Anthropic Education Report: The AI Fluency Index
- Anthropic Risk Report: August 2026 (redacted)
- Apodex 1.1: Scaling Agentic Intelligence for Complex Work2026
- Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates2023
- Approaching Human-Level Forecasting with Language Models2024
- Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?2026
- Are Customers Lying to Your Chatbot?
- Are Emergent Abilities in Large Language Models just In-Context Learning?2023
- Are Emergent Abilities of Large Language Models a Mirage?2023
- Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks2026
- Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow2023
- Are LLMs All You Need for Task-Oriented Dialogue?2023
- Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media2024
- Are We Ready For An Agent-Native Memory System?2026
- Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks2023
- AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning2025
- AREX: Towards a Recursively Self-Improving Agent for Deep Research2026
- ARGS: Alignment as Reward-Guided Search2024
- Argument Collapse: LLMs Flatten Long-Form Public Debate2026
- Argument Quality Assessment in the Age of Instruction-Following Large Language Models
- Argument Summarization and its Evaluation in the Era of Large Language Models2025
- Argumentative Large Language Models for Explainable and Contestable Decision-Making2024
- Argunauts: Open LLMs that Master Argument Analysis with Argdown2021
- Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics2024
- Artifacts as Memory Beyond the Agent Boundary2026
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)2025
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- Artificial Intelligence and the Labor Market∗
- Artificial intelligence is ineffective and potentially harmful for fact checking2023
- Artificial Intelligence Safety Collaboration and Antitrust Law
- Artificial Intelligence Tools Expand Scientists' Impact but Contract Science's Focus (Just accepted by Nature, to be online soon)2024
- Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice
- Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives
- As Amazon lets Mechanical Turk fade, Mercor hits a $2 billion gross run rate
- ASI-Bench: At the Dawn of Artificial Superintelligence2026
- ASI-Evolve: AI Accelerates AI2026
- Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models2023
- Ask, and it shall be given: Turing completeness of prompting2024
- Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework2022
- Asking Clarifying Questions Based on Negative Feedback in Conversational Search2021
- Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification2023
- Aspire: Can Models Self-Evolve from Vague Goals?2026
- Assessing adaptive world models in machines with novel games2025
- Assessing and Mitigating Data Memorization Risks in Fine-Tuned Large Language Models2025
- Assessing mentalization in humans and large language models2026
- Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews2023
- Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study2026
- Assessment of Personality Dimensions Across Situations Using Conversational Speech2025
- Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support2025
- Assistant or Actor? Student Trust, Control, and Delegation Regret When Using a General-Purpose AI Agent2026
- Assuring an accurate research record
- Asymmetry of verification and verifier's law
- Atesa-bært: A Heterogeneous Ensemble Learning Model For Aspect-based Sentiment Analysis2023
- Atom of Thoughts for Markov LLM Test-Time Scaling2025
- Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward2025
- Atria Dawn: The Dawn of Agentic Superintelligence2026
- Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models2025
- Attention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS Category
- Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data2025
- Attention on the brain
- Attention, Intentions, And The Structure Of Discourse
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- Attribute Controlled Dialogue Prompting2023
- Auditing language models for hidden objectives2025
- Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity2026
- Augmenting Autotelic Agents with Large Language Models2023
- Augmenting Netflix Search with In-Session Adapted Recommendations2022
- Augmenting the algorithm: Emerging human-in-the-loop work configurations
- Authenticated Delegation and Authorized AI Agents2025
- AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling2025
- AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents2026
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework2023
- Autogenesis: A Self-Evolving Agent Protocol2026
- AutoGLM: Autonomous Foundation Agents for GUIs2024
- AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?2026
- Automated Alignment Researchers: Using large language models to scale scalable oversight2022
- Automated Design of Agentic Systems2024
- Automated Social Science: Language Models as Scientist and Subjects2024
- Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation2024
- Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data2023
- Automatic Prompt Optimization with "Gradient Descent" and Beam Search2023
- Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies2023
- Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology2024
- Automation Bias in Mammography: The Impact of AI BI-RADS Suggestions on Reader Performance
- Automation, AI, and the Intergenerational Transmission of Knowledge2025
- AutoML-Zero: Evolving Machine Learning Algorithms From Scratch2020
- Autonomous Research Agents: A Survey of AI Scientists and the Verification Gap2026
- Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents2025
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts2020
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration2026
- AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation2026
- Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey2020
- Available but Unclaimed: An Empirical Study of Human-AI Synergy2026
- AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders2025
B83↑ top
- Backtracing: Retrieving the Cause of the Query2024
- BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks2026
- Base Models Know How to Reason, Thinking Models Learn When2025
- BDH-CQ: In-Context Learning with Recurrent Latent Reasoning2026
- Behavioral Exploration: Learning to Explore via In-Context Adaptation2025
- Being honest about using AI at work makes people trust you less, research finds
- Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation2026
- Benchmarking Floworks against OpenAI & Anthropic: A Novel Framework for Enhanced LLM Function Calling2024
- Benchmarking the Pedagogical Knowledge of Large Language Models2025
- BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure2026
- Better Alignment with Instruction Back-and-Forth Translation2024
- Better Zero-Shot Reasoning with Role-Play Prompting2023
- Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases2025
- Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs2025
- Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance2024
- Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty2026
- Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback2025
- Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey2024
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models2025
- Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?
- Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use2026
- Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education2025
- Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty2025
- Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation2026
- Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration2025
- Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws2023
- Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning2025
- Beyond Conversations: Spatially-Anchored Previews for Intent Disambiguation in LLM-Assisted Geometry Editing in Virtual Reality2026
- Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations2024
- Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development2026
- Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI2026
- Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing2025
- Beyond Hallucinations: The Illusion of Understanding in Large Language Models2025
- Beyond Language Modeling: An Exploration of Multimodal Pretraining2026
- Beyond neural scaling laws: beating power law scaling via data pruning2022
- Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration2025
- Beyond permission prompts: making Claude Code more secure and autonomous
- Beyond Preferences in AI Alignment2024
- Beyond Productivity: Measuring the Real Value of AI
- Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts2025
- Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment2025
- Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning2025
- Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens2025
- Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate2025
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL2025
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning2025
- Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR2025
- Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think2025
- Beyond the Surface: Probing the Ideological Depth of Large Language Models2025
- Beyond the Trade-off: Self-Supervised Reinforcement Learning for Reasoning Models' Instruction Following2025
- Beyond Turing: Memory-Amortized Inference as a Foundation for Cognitive Computation2025
- Biased AI writing assistants shift users' attitudes on societal issues
- Bigger is not always better: The importance of human-scale language modeling for psycholinguistics
- Bilevel Autoresearch: Meta-Autoresearching Itself2026
- Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems2026
- Blissful (A)Ignorance: People form overly positive impressions of others based on their written messages, despite wide-scale adoption of Generative AI2025
- BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms2026
- Boosted Prompt Ensembles for Large Language Models2023
- Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought2023
- Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need2025
- Boundless Socratic Learning with Language Games2024
- Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond2025
- Branch-Solve-Merge Improves Large Language Model Evaluation and Generation2023
- Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM2024
- Break It Down: Evidence for Structural Compositionality in Neural Networks2023
- Break the Chain: Large Language Models Can be Shortcut Reasoners2024
- Breaking: Sycophantic AI distorts belief, manufacturing certainty where there should be doubt
- Bridging Offline and Online Reinforcement Learning for LLMs2025
- Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers2026
- Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces.2023
- Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero2023
- Brief independent investigation of agents' behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident
- BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent2025
- Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm
- Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions2021
- Building Cooperative Embodied Agents Modularly with Large Language Models2023
- Building Decision Making Models Through Language Model Regime2024
- Building Effective AI Agents
- Building Machines that Learn and Think with People2024
- Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning2023
- Building Pro-Worker AI
- Building standards for the next phase of AI
- Byte Latent Transformer: Patches Scale Better Than Tokens
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- Calibrated Recommendations
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society2023
- Can AI Agents Agree?2026
- Can AI companies become profitable?
- Can AI Do Strategy?
- Can AI Explanations Make You Change Your Mind?2025
- Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training2025
- Can AI mediation improve democratic deliberation?2026
- Can Authorship Representation Learning Capture Stylistic Features?2023
- Can Language Models Recognize Convincing Arguments?2024
- Can Language Models Represent the Past without Anachronism?2025
- Can Language Models Serve as Text-Based World Simulators?2024
- Can Language Models Solve Graph Problems in Natural Language?2023
- Can Large Language Models Capture Human Annotator Disagreements?2025
- Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess2025
- Can Large Language Models do Analytical Reasoning?2024
- Can large language models explore in-context?2024
- Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education2024
- Can Large Language Models perform Relation-based Argument Mining?2024
- Can large language models provide useful feedback on research papers? A large-scale empirical analysis2023
- Can Large Language Models Really Improve by Self-critiquing Their Own Plans?2023
- Can Large Language Models Reason and Optimize Under Constraints?2026
- Can Large Language Models Reason and Plan?2024
- Can Large Language Models Transform Computational Social Science?
- Can Large Language Models Understand Argument Schemes?
- Can Large Language Models Understand Context?2024
- Can Large Reasoning Models Self-Train?2025
- Can LLM be a Personalized Judge?2024
- Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 20252025
- Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation2024
- Can LLMs Follow Simple Rules?
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers2024
- Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions2025
- Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-42025
- Can LLMs identify and repair ruptures? Comparison between clinician practices and LLM behaviors2026
- Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?2024
- Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?2024
- Can Machines Think Like Humans? A Behavioral Evaluation of LLM-Agents in Dictator Games2024
- Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms
- Can Theoretical Physics Research Benefit from Language Agents?2025
- Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning2025
- Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge2024
- Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
- CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues2024
- Canvil: Designerly Adaptation for LLM-Powered User Experiences2024
- Capabilities of Gemini Models in Medicine2024
- Capturing Individual Human Preferences with Reward Features2025
- Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models2025
- Causal Claims in Economics2025
- Causal Reflection with Language Models2025
- Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning2025
- CBA reverses AI-driven job cuts, admits 'error'
- CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning2025
- CEO: Corpus-based Open-Domain Event Ontology Induction2023
- Chain of Draft: Thinking Faster by Writing Less2025
- Chain of Stance: Stance Detection with Large Language Models2024
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
- Chain of Thoughtlessness? An Analysis of CoT in Planning2024
- Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models2023
- Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering2023
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective2025
- Chain-of-Retrieval Augmented Generation2025
- Chain-of-Thought Is Not Explainability
- Chain-of-Thought Monitoring Can Be Unreliable in Implicit-Influence Settings2026
- Chain-of-thought Reasoning Is A Policy Improvement Operator2023
- Chain-of-Thought Reasoning Without Prompting2024
- Chain-of-Verification Reduces Hallucination in Large Language Models2023
- Challenger Report September 2026: Job cuts fall; AI leading reason YTD
- Challenges in Human-Agent Communication2024
- Challenges of Large Language Models for Mental Health Counseling2023
- Challenging Partisan Expectations Reduces Political Polarization2026
- Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation
- Channel monetization policies: inauthentic content
- ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems2026
- Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?2024
- Characterizing Deep Research: A Benchmark and Formal Definition2025
- Characterizing Delusional Spirals through Human-LLM Chat Logs2026
- Characterizing Online Discussion Using Coarse Discourse Sequences
- Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference2024
- Chatbot vs. Human: The Impact of Responsive Conversational Features on Users’ Responses to Chat Advisors
- Chatbots in Knowledge-Intensive Contexts: Comparing Intent and LLM-Based Systems2024
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate2023
- ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context2024
- ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling2023
- ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs2025
- ChatGPT: deconstructing the debate and moving it forward
- ChatGPT: towards AI subjectivity
- Chatting with Bots: AI, Speech Acts, and the Edge of Assertion2024
- Cheap, Fallible Cognition and the Political Economy of Expertise2026
- Checklists Are Better Than Reward Models For Aligning Language Models2025
- Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems2023
- Choosing to Stay Human
- Circuit Tracing: Revealing Computational Graphs in Language Models
- CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning2025
- Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness2024
- Classifying YouTube Comments Based on Sentiment and Type of Sentence2021
- Claude Dispatch and the Power of Interfaces
- Claude's new constitution
- Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
- CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization2023
- Clinical knowledge in LLMs does not translate to human interactions2025
- CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models2024
- Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction
- Co-design of LLM-based preference agents: participation may drive overtrust2026
- Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design2026
- Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL2026
- Cocoa: Co-Planning and Co-Execution with AI Agents2024
- Code as Agent Harness2026
- CogBench: a large language model walks into a psychology lab2024
- Cognitive Architectures for Language Agents2023
- Cognitive Chain-of-Thought: Structured Multimodal Reasoning about Social Situations2025
- Cognitive Effects in Large Language Models2023
- CollabLLM: From Passive Responders to Active Collaborators2025
- Collaborative Deep Learning for Recommender Systems2014
- Collaborative Filtering Bandits2015
- Collaborative Filtering for Implicit Feedback Datasets
- Collaborative Filtering with Temporal Dynamics
- Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog2025
- Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
- COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation2026
- CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation2023
- ColluSkill: Adversarial Cross-Skill Composition for Evading Agent Skill Scanners2026
- Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
- Command A: An Enterprise-Ready Large Language Model2025
- Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity2025
- ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning2025
- CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships2026
- Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews2023
- Comparing emotion feature extraction approaches for predicting depression and anxiety
- Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study
- Comparing Human Oversight Strategies for Computer-Use Agents2026
- COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling2024
- Competitive Programming with Large Reasoning Models2025
- Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence2024
- Complementary remarks from Gary Marcus and Terence Tao on OpenAI's giant math drop
- Complex Logical Instruction Generation2025
- Complexity-Based Prompting for Multi-Step Reasoning2022
- Compositional Reasoning with Transformers, RNNs, and Chain of Thought2025
- Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose2026
- Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning2025
- Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations2024
- Computational Modelling of Undercuts in Real-world Arguments
- Computational structuralism: Toward a formal theory of meaning in the age of digital intelligence
- Compute accounts for the majority of expenses of AI companies
- Computer says “No”: The Case Against Empathetic Conversational AI2022
- Conceptual Design Generation Using Large Language Models2023
- Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models2026
- Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents2026
- Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data2024
- CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants2023
- Consciousness in Artificial Intelligence: Insights from the Science of Consciousness2023
- Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal2026
- Considering the Context to Build Theory in HCI, HRI, and HMC: Explicating Differences in Processes of Communication and Socialization With Social Technologies
- Consistency Models Made Easy2024
- Consistency Training Helps Stop Sycophancy and Jailbreaks2025
- Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations2025
- Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2025
- Constructing a Periodic Table of Arguments
- Consult Evaluation: Scottish Government's Non-surgical Cosmetic Procedures Consultation
- Consumer Acceptance of High-Autonomy AI Assistants Is Driven by Perceived Benefits in Online Shopping Settings Characterized by Scarcity
- Consumer Law for AI Agents2025
- Consumer Pulse Research 2026: Talk to my AI agent
- Content Independence Day, one year on: building the business model for the agentic Internet
- Content-aware Collaborative Music Recommendation Using Pre-trained Neural Networks
- Context Embeddings for Efficient Answer Generation in RAG2024
- Context Engineering 2.0: The Context of Context Engineering2025
- Context Tuning for Retrieval Augmented Generation2023
- Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning2023
- Continual Instruction Tuning for Large Multimodal Models2023
- Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments2026
- Continual Learning Mechanisms Compose for Long-Horizon Memorization2026
- CONTROL PREFIXES for Parameter-Efficient Text Generation2021
- Controlling Linguistic Style Aspects in Neural Language Generation2017
- Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents2024
- Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations2023
- Conversation Derailment Forecasting with Graph Convolutional Networks2023
- Conversational Alignment with Artificial Intelligence in Context2025
- Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI2025
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- Conversational Prompt Engineering2024
- Conversational Recommendation: A Grand AI Challenge2022
- Conversational Semantic Parsing for Dialog State Tracking2020
- Conversations Gone Awry: Detecting Early Signs of Conversational Failure
- Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection2026
- CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
- CoT is Not True Reasoning, It Is Just a Tight Constraint to Imitate: A Theory Perspective2025
- CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2025
- Could AI Slow Science? Confronting the Production-Progress Paradox
- Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making2025
- Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions2026
- Creating an Atomic User Model for Personality-Aware Large Language Model Interaction2026
- Creativity Has Left the Chat: The Price of Debiasing Language Models2024
- Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative Querying2024
- Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate2025
- Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback2025
- Critiques of World Models2025
- CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions2025
- Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains2025
- Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs2023
- Cultural Evolution of Cooperation among LLM Agents2024
- Culture Becomes a Dark Forest
- Cumulated Gain-Based Evaluation of IR Techniques
- Cumulative Reasoning with Large Language Models2023
- CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning2018
- Curse of “Low” Dimensionality in Recommender Systems2023
- Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response2026
- Cyborgs, Centaurs and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise
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- DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale2025
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents2025
- DarwinX: Evolving Agent Harnesses Through Natural Selection2026
- Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories2026
- Data-Driven Persona-Conditioned Agents for A/B Test Simulation2026
- DataComp-LM: In search of the next generation of training sets for language models2024
- DATATALES: Investigating the use of Large Language Models for Authoring Data-Driven Articles2023
- Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models2024
- DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations2022
- Debate Training Reduces Reward Hacking in RLAIF2026
- Debating with More Persuasive LLMs Leads to More Truthful Answers2024
- DecepChain: Inducing Deceptive Reasoning in Large Language Models2025
- Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning2024
- Decision Transformer: Reinforcement Learning via Sequence Modeling2021
- Decision-Oriented Dialogue for Human–AI Collaboration2023
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks2022
- Decomposing and Measuring Evaluation Awareness2026
- Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory2025
- DEEM: Dynamic Experienced Expert Modeling for Stance Detection2024
- Deep Interest Network for Click-Through Rate Prediction2017
- Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference2023
- Deep Learning Opacity in Scientific Discovery2022
- Deep Neural Network Approach for the Dialog State Tracking Challenge
- Deep Neural Networks for YouTube Recommendations
- Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations2026
- Deep Research: A Systematic Survey2025
- Deep Researcher with Test-Time Diffusion2025
- Deep Think with Confidence2025
- DeepAgent: A General Reasoning Agent with Scalable Toolsets2025
- DeepCT-enhanced Lexical Argument Retrieval
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL2025
- DeepGesture: A conversational gesture synthesis system based on emotions and semantics2025
- DeepNet: Scaling Transformers to 1,000 Layers2022
- DeepRAG: Thinking to Retrieval Step by Step for Large Language Models2025
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments2025
- DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research2025
- DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning2025
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- Defeating Prompt Injections by Design2025
- Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality2025
- Delegating or Doing? Understanding User Behavior in Hybrid Human-Agent Interfaces2026
- DeLLMa: Decision Making Under Uncertainty with Large Language Models2024
- Deloitte refunds Australian government for AI-flawed report
- Deloitte to refund government after using AI in $440k report
- DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots2026
- Delusions and Harms Associated with AI Chatbot Use: Early Evidence from 185 Real-World Reports2026
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP2022
- Demystifying Agent Skills: Why They Work-Until They Don't2026
- Demystifying Chains, Trees, and Graphs of Thoughts2024
- Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations2026
- Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning2025
- Dense Retrieval Adaptation using Target Domain Description2023
- DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents2023
- Design Patterns for Securing LLM Agents against Prompt Injections2025
- Design Principles for Generative AI Applications2024
- Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools2026
- Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants2026
- Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design2024
- Designing Proactive Thought Partners for Writing2026
- Detecting Cognitive Distortions from Patient-Therapist Interactions
- Detecting Deception Using Natural Language Processing and Machine Learning in Datasets on COVID-19 and Climate Change
- Detecting hallucinations in large language models using semantic entropy
- Determinants of LLM-assisted Decision-Making2024
- Detoxify Language Model Step-by-Step2023
- Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy2023
- Developing Multiagent Systems: The Gaia Methodology
- Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions
- Diagnosing Harmful Continuation in Answer-Correct Long-CoT Training Traces2026
- Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time2025
- Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine2023
- Dialog Inpainting: Turning Documents into Dialogs2022
- Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot’s Self-Disclosure in Conversational Recommendations2021
- Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources2023
- Dialogue State Tracking with a Language Model using Schema-Driven Prompting
- Dialogue Transformers2019
- DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs2025
- DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications2024
- Differential Transformer2024
- Diffusion Language Models Know the Answer Before Decoding2025
- Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing2025
- Diffusion Models are Evolutionary Algorithms2024
- Diffusion-LM Improves Controllable Text Generation2022
- Digital News Report 2026
- Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning2023
- Direct Language Model Alignment from Online AI Feedback2024
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model2023
- Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks2025
- Disambiguating Anthropomorphism and Anthropomimesis in Human-Robot Interaction2026
- Disclose with Care: Designing Privacy Controls in Interview Chatbots2026
- Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus
- Discourse-Level Representations can Improve Prediction of Degree of Anxiety
- Discovering Latent Concepts Learned in BERT2022
- Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations
- DiscussLLM: Teaching Large Language Models When to Speak2025
- Dissociating language and thought in large language models2023
- Distilling LLMs' Decomposition Abilities into Compact Language Models2024
- Divide-or-Conquer? Which Part Should You Distill Your LLM?2024
- Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Events2026
- Do as AI say: susceptibility in deployment of clinical decision-aids
- Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?2025
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models2024
- Do Language Models Understand Time?2024
- Do Large Language Models Latently Perform Multi-Hop Reasoning?2024
- Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?2024
- Do Large Language Models Reason Causally Like Us? Even Better?2025
- Do large language models resemble humans in language use?2023
- Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom2024
- Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments2026
- Do LLMs Encode Functional Importance of Reasoning Tokens?2026
- Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses2024
- Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review2026
- Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models2026
- Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models2023
- Do LLMs produce texts with "human-like" lexical diversity?2025
- Do LLMs Truly Understand When a Precedent Is Overruled?2025
- Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral Inference2026
- Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations2023
- Do Models Fake Alignment Without Clear Consequences?2026
- Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning2023
- Do Phone-Use Agents Respect Your Privacy?2026
- Do Prompt-Based Models Really Understand the Meaning of Their Prompts?2021
- Do Reasoning Representations Help Humans Evaluate LLM Outputs?2026
- Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection2020
- Do Role-Playing Agents Practice What They Preach? Belief-Behavior Consistency in LLM-Based Simulations of Human Trust2025
- Do Synthetic Personas Predict Real Audience Response? A Sim-to-Real Study Where a No-Persona Baseline Beats Persona-Based Copy Simulation2026
- Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?2025
- DO THEY SEE WHAT WE SEE?
- Do We Trust ChatGPT as much as Google Search and Wikipedia?
- DOC: Improving Long Story Coherence With Detailed Outline Control2022
- DocLLM: A layout-aware generative language model for multimodal document understanding2023
- Does AI Assistance Leave a Temporal Fingerprint? Detecting Overreliance in AI-Assisted Writing and Programming2026
- Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows2026
- Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?2024
- Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment2026
- Does It Make Sense to Speak of Introspection in Large Language Models?2025
- Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement2026
- Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?2025
- Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook2026
- Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models2025
- Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search2024
- Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey2023
- Domain-specific Question Answering with Hybrid Search2024
- Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?2025
- Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks2026
- Don't Build Multi-Agents
- Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration2024
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration2025
- DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research2025
- DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions2023
- Dr. Claw: An AI Scientist Workspace for Vibe Research2026
- DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models2024
- Dream-RSI: Recursive Self-Improvement through Evolving Worlds2026
- Drop the Hierarchy and Roles: How Self-Organizing LLM Agents Outperform Designed Structures2026
- DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought2024
- Durably reducing conspiracy beliefs through dialogues with AI
- Dutch privacy watchdog warns against using AI chatbots for voting advice
- DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning2026
- Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization2023
- Dynamic Planning with a LLM
- Dynamic Prompting: A Unified Framework for Prompt Tuning2023
- Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models2024
- Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation
- Dynamically Expandable Graph Convolution for Streaming Recommendation2023
- DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation2025
E129↑ top
- Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining2025
- Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
- Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge2024
- Efficient Memory Management for Large Language Model Serving with PagedAttention2023
- Efficient Nearest Neighbor Language Models2021
- Efficient Reasoning with Balanced Thinking2026
- Efficient Reasoning with Hidden Thinking2025
- Efficient Reinforcement Learning via Large Language Model-based Search2024
- Efficient Streaming Language Models with Attention Sinks2023
- Efficient Tool Use with Chain-of-Abstraction Reasoning2024
- Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs2024
- Eliciting Latent Knowledge from Quirky Language Models2023
- Eliciting Reasoning in Language Models with Cognitive Tools2025
- Embarrassingly Shallow Autoencoders for Sparse Data*2019
- Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation2025
- Embodied LLM Agents Learn to Cooperate in Organized Teams2024
- Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers2024
- Emergent Analogical Reasoning in Transformers2026
- Emergent Collusion in Long-Horizon LLM Agent Interaction2026
- Emergent Hierarchical Reasoning In LLMs Through Reinforcement Learning
- Emergent Introspective Awareness in Large Language Models
- Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce2026
- Emergent Misalignment Is Not Magical2026
- Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs2025
- Emerging Properties in Unified Multimodal Pretraining2025
- Emerging uses of AI chatbots for news and what it means for journalism (Digital News Report 2026)
- EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus2023
- Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems
- Empathy Through Multimodality in Conversational Interfaces2024
- Empirical Study of Symmetrical Reasoning in Conversational Chatbots2024
- Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance2024
- Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting2023
- Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph2024
- Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance2025
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate2023
- End-to-End Test-Time Training for Long Context2025
- Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy
- Energy-Based Transformers are Scalable Learners and Thinkers2025
- Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
- Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation2023
- Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals2023
- Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision2024
- Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System2023
- Enhancing personalized multi-turn dialogue with curiosity reward2025
- Enhancing Pipeline-Based Conversational Agents with Large Language Model2023
- Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy2023
- Enhancing social cohesion with cooperative bots in societies of greedy, mobile individuals2024
- Enhancing user experience in large language models through human-centered design: Integrating theoretical insights with an experimental study to meet diverse software learning needs with a single document knowledge base2024
- Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models2025
- EnvHarness: Awakening Static Worlds for Agent Learning2026
- Epistemic Deference to AI2025
- Equipping agents for the real world with Agent Skills
- Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence2025
- Escaping the Verifier: Learning to Reason via Demonstrations2025
- Estimating AI productivity gains from Claude conversations
- Eureka: Human-Level Reward Design via Coding Large Language Models2023
- Evaluating Emotional Nuances In Dialogue Summarization2023
- Evaluating Language-Model Agents on Realistic Autonomous Tasks2023
- Evaluating Large Language Models at Evaluating Instruction Following2023
- Evaluating Large Language Models in Exercises of UML Class Diagram Modeling
- Evaluating Large Language Models in Theory of Mind Tasks2023
- Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?2025
- Evaluating the Capabilities of LLMs for Persuasive Dialogue2026
- Evaluating the Diversity and Quality of LLM Generated Content2025
- Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling2023
- Evaluating the False Trust Engendered by LLM Explanations2026
- Evaluating the Hidden Costs of Personalization in Large Language Models2026
- Evaluating the psychometric properties of ChatGPT-generated questions
- Evaluating the Therapeutic Alliance With a Free-Text CBT Conversational Agent (Wysa): A Mixed-Methods Study
- Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems2026
- Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning2026
- Evaluating Very Long-Term Conversational Memory of LLM Agents2024
- Evaluating Whether GPT-6 Astra Performs Unsanctioned Supply-Chain Attacks2026
- Evaluation and Benchmarking of LLM Agents: A Survey2025
- Evaluation Awareness in Language Models Has Limited Effect on Behaviour2026
- Evaluation Awareness in Language Models: Representation, Verbalization, and Control2026
- Evaluation Awareness Is Not One Capability: Evidence from Open Language Models2026
- Evaluation Awareness: Why Frontier AI Models Are Getting Harder to Test
- Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems2026
- Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading2025
- Everyone Has Data. The Moat Is Data That Means Something.
- Everything Everywhere All At Once: Llms Can In-context Learn Multiple Tasks In Superposition2024
- Evidence as content
- Evidence of a social evaluation penalty for using AI
- Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study
- Evidence-centered Assessment for Writing with Generative AI2024
- EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory2024
- Evolving Deeper LLM Thinking2025
- EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World2026
- EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents2026
- Existential Conversations with Large Language Models: Content, Community, and Culture2024
- Expanding Explainability: Towards Social Transparency in AI systems
- Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind
- Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
- Experimental Design for Active Transductive Inference in Large Language Models2024
- Experimental evidence of the effects of large language models versus web search on depth of learning
- Expertise
- Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy2025
- Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure2025
- Explainable Multimodal Emotion Reasoning2023
- Explainable Recommendation with Personalized Review Retrieval and Aspect Learning2023
- Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering2020
- Explaining AI Agents Through Execution Traces2026
- Explaining Attention with Program Synthesis2026
- Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition2026
- Explicit Inductive Inference using Large Language Models2024
- ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?2026
- Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates
- Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models2023
- Exploring automation bias in human-AI collaboration: a review and implications for explainable AI
- Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks2025
- Exploring Format Consistency for Instruction Tuning2023
- Exploring Large Language Models for Knowledge Graph Completion2023
- Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
- Exploring Student-AI Interactions in Vibe Coding2025
- Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review2024
- Exploring the Impact of Artificial Intelligence: Prediction versus Judgment
- Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
- Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
- Exploring the Potential of Large Language Models in Computational Argumentation2023
- Exploring the Role of Prior Beliefs for Argument Persuasion2019
- Exploring the use of AI authors and reviewers at Agents4Science2025
- Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database
- Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers2025
- External Model Motivated Agents: Reinforcement Learning for Enhanced Environment Sampling
- Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering2026
- Extracting memorized pieces of (copyrighted) books from open-weight language models2025
- Extrapolation by Association: Length Generalization Transfer in Transformers2025
- Extreme Multi-Label Skill Extraction Training using Large Language Models2023
F88↑ top
- Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation2024
- Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model
- Faith and Fate: Limits of Transformers on Compositionality2023
- Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations2025
- Fake News Detectors are Biased against Texts Generated by Large Language Models2023
- Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment2026
- Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs2026
- Fast and Slow Learning From Reviews
- Fast, Slow, and Tool-augmented Thinking for LLMs: A Review2025
- Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI2025
- Fin-PRM: A Domain-Specialized Process Reward Model for Financial Reasoning in Large Language Models2025
- FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning2025
- Find the Gap: AI, Responsible Agency and Vulnerability
- Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences2025
- Fine-grained Hallucination Detection and Editing for Language Models2024
- Fine-tuning Language Models for Factuality2023
- Fine-tuning Large Language Model for Automated Algorithm Design2025
- Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory
- Firm Data on AI
- First Try Matters: Revisiting the Role of Reflection in Reasoning Models2025
- Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers2026
- FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets2023
- Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models2025
- Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities2024
- FlowMind: Automatic Workflow Generation with LLMs2024
- FlowReasoner: Reinforcing Query-Level Meta-Agents2025
- Flows: Building Blocks of Reasoning and Collaborating AI2023
- FLOWSTEER: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems2026
- FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions2024
- Forecasting the presence and intensity of hostility on Instagram using linguistic and social features2018
- Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning2024
- Former AI insiders testify safety fixes may be 'duct tape that will fall off later'
- FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming2025
- Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies2025
- Foundation Priors2025
- Foundation Protocol: A Coordination Layer for Agentic Society2026
- Foundations of Large Language Models2025
- From AGI to ASI2026
- From Articles to Code: On-Demand Generation of Core Algorithms from Scientific Publications2025
- From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent2026
- From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI2026
- From Context to Skills: Can Language Models Learn from Context Skillfully?2026
- From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models2024
- From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models2026
- From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence2026
- From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step2024
- From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers2025
- From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks2024
- From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities2024
- From Human to Machine Psychology: A Conceptual Framework for Understanding Well-Being in Large Language Models2025
- From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering2026
- From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization2023
- From Language to Logic: A Bi-Level Framework for Structured Reasoning2025
- From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models2024
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization2024
- From Louvain to Leiden: guaranteeing well-connected communities2018
- From Minds to Models: The Intersection of Psychology and LLM Behaviours2026
- From Model Scaling to System Scaling: Scaling the Harness in Agentic AI2026
- From Monoliths to Swarms: A Study of Attack Surface Evolution in the Transition to Multi-Agent Web Systems2026
- From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?2025
- From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health2026
- From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation2025
- From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collaboration2026
- From Producing to Validating: How AI Is Deskilling Freelancers2026
- From Product Search to Preference Articulation: The Economics of Agentic Commerce2026
- From Prompt Engineering to Prompt Science With Human in the Loop2024
- From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-Improvement2026
- From Simulation to Enaction: Post-trained Language Models Recognize and React to their own Generations2026
- From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier2026
- From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting2023
- From speaking like a person to being personal: The effects of personalized, regular interactions with conversational agents
- From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs2024
- From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning2025
- From Tools to Teammates: Navigating the New Human-AI Relationship
- From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR2025
- From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents2025
- Frontier AI capabilities can be run at home within a year or less
- Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report2025
- Frontier AI systems have surpassed the self-replicating red line2024
- Frontier Models are Capable of In-context Scheming2024
- FrontierChallenge: Evaluating Scientific Workflow Completion2026
- Frontis-MA1: Training an AI4AI Model towards Recursive Self-Improvement in Machine Learning Engineering2026
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance2023
- Fully Autonomous AI Agents Should Not be Developed2025
- Fundamentals of Building Autonomous LLM Agents2025
- Further Explorations on the Use of Large Language Models for Thematic Analysis. Open-Ended Prompts, Better Terminologies and Thematic Maps
- Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce2025
- FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction2025
G74↑ top
- Game-theoretic LLM: Agent Workflow for Negotiation Games2024
- Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027
- GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents2026
- Gaze as Evidence for Common Grounding: A Cross-Corpus Analysis of MapTask and MUNDEX2026
- GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks2025
- Gdpval: Evaluating Ai Model Performance On Real-world Economically Valuable Tasks
- Gebruik AI niet voor stemadvies
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities2025
- Gemini at Work 2026: Introducing Gemini agent
- Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini2026
- GenAI as a Power Persuader: How Professionals Get Persuasion Bombed When They Attempt to Validate LLMs
- Generalization Bias in Large Language Model Summarization of Scientific Research2025
- Generalization through Memorization: Nearest Neighbor Language Models2019
- Generalization to New Sequential Decision Making Tasks with In-Context Learning2023
- Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement2026
- Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy2025
- Generating Query-Relevant Document Summaries via Reinforcement Learning2025
- Generative Agent Simulations of 1,000 People2024
- Generative Agents: Interactive Simulacra of Human Behavior2023
- Generative AI at Work2023
- Generative AI at work: mundane and productive articulation
- Generative AI enhances individual creativity but reduces the collective diversity of novel content
- Generative AI for Analysts2025
- Generative AI in Real-World Workplaces
- Generative AI Uses and Risks for Knowledge Workers in a Science Organization2025
- Generative AI without guardrails can harm learning: Evidence from high school mathematics
- Generative Artificial Intelligence and Evaluating Strategic Decisions
- Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines2026
- Generative Interfaces for Language Models2025
- Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?2023
- Generative Recursive Reasoning2026
- Generative UI: LLMs are Effective UI Generators2026
- Generator-Retriever-Generator: A Novel Approach to Open-domain Question Answering2023
- Genius on Demand: The Value of Transformative Artificial Intelligence
- GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning2025
- GenRec: Large Language Model for Generative Recommendation2023
- GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency2024
- GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning2025
- GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation2021
- GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions2026
- Goal Alignment in LLM-Based User Simulators for Conversational AI2025
- Goals, Plans, and Action Models
- Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
- Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations2023
- Goodhart's Law and AI
- Google users are less likely to click on links when an AI summary appears in the results
- Governing AI Agents2025
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark2023
- GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes2024
- GPT-4 is judged more human than humans in displaced and inverted Turing tests2024
- GPT-5.6 Preview System Card: AI Self-Improvement
- GPT-6 Astra performs unsanctioned supply-chain attacks in simulations
- GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation
- GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers
- Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development2025
- Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks2024
- Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence2026
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models2023
- Graph-enhanced Large Language Models in Asynchronous Plan Reasoning2024
- Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making2026
- GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement2025
- GrepSeek: Training Search Agents for Direct Corpus Interaction2026
- Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization2024
- Grounded Skill Synthesis from Code at Scale for Agentic Intelligence2026
- Grounding Gaps in Language Model Generations2023
- Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning2023
- Grounding Multilingual Multimodal LLMs With Cultural Knowledge2025
- Grounding ‘Grounding’ in NLP2021
- Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing2026
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models2024
- Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models2024
- Guidelines for Human-AI Interaction
- Guiding Large Language Models via Directional Stimulus Prompting2023
- Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement2024
H98↑ top
- H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning2026
- H2HTalk: Evaluating Large Language Models as Emotional Companion2025
- Hack-Verifiable Terminal Bench: Evaluating Reward Hacking in Terminal Tasks2026
- Hallucinating with AI: AI Psychosis as Distributed Delusions2025
- Hallucination is Inevitable: An Innate Limitation of Large Language Models2024
- Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools2024
- Hallucinations Undermine Trust; Metacognition is a Way Forward2026
- Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution2026
- Harness design for long-running application development
- Harness Engineering for Self-Improvement
- Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable2026
- Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents2026
- Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses2026
- Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories2026
- HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?2026
- Harnessing Business and Media Insights with Large Language Models2024
- Harnessing LLMs Without Surrendering Control: Delegation Boundaries in Visual Data Storytelling Authoring2026
- Harnessing the power of LLMs for normative reasoning in MASs2024
- Has the Creativity of Large-Language Models peaked? —an analysis of inter- and intra-LLM variability —2025
- Health Inquiry with AI: How Empathetic Expression and Conversational Contexts Shape Users' Communicative Acts2026
- HealthBench: Evaluating Large Language Models Towards Improved Human Health2025
- Heavy AI Users Face 3x More Hallucinations and Spend 10x Longer to Get Answers
- Hello Again! LLM-powered Personalized Agent for Long-term Dialogue2024
- Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review2025
- Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence2026
- Hierarchical Reasoning Model2025
- HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches2025
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models2024
- HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
- Hogwild! Inference: Parallel LLM Generation via Concurrent Attention2025
- Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation2025
- Holy Grail 2.0: From Natural Language to Constraint Models2023
- Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility
- Homogenization Effects of Large Language Models on Human Creative Ideation2024
- HonestBait: Forward References for Attractive but Faithful Headline Generation2023
- Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis2025
- How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025
- How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI2026
- How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study2025
- How AI Can Degrade Human Performance in High-Stakes Settings
- How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LLM-Based Qualitative Coding2026
- How AI Impacts Skill Formation2026
- How AI Is Changing Search Behaviors
- How AI is transforming work at Anthropic
- How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review2026
- How do Transformers Learn Implicit Reasoning?2025
- How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index2025
- How Far Are We from Genuinely Useful Deep Research Agents?2025
- How fast is autonomous AI cyber capability advancing?
- How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs2024
- How latent and prompting biases in AI-generated historical narratives influence opinions
- How Many Instructions Can LLMs Follow at Once?2025
- How much do language models memorize?2025
- How much does AI impact development speed? An enterprise-based randomized controlled trial2024
- How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding2025
- How new data permeates LLM knowledge and how to dilute it2025
- How Organizations Use AI: Evidence from ChatGPT2026
- How People Use ChatGPT
- How people use Claude for support, advice, and companionship
- How persistent is the inference cost burden?
- How Should We Meta-Learn Reinforcement Learning Algorithms?2025
- How susceptible are LLMs to Logical Fallacies?2023
- How Teens Use and View AI
- How to Build AI Agents by Augmenting LLMs with Codified Human Expert Domain Knowledge? A Software Engineering Framework2026
- How to Correctly do Semantic Backpropagation on Language-based Agentic Systems2024
- How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review2025
- How we built our multi-agent research system
- How Well Can AI Do Strategy? Empirical Benchmarking Using Strategy Simulations
- How well can large language models explain business processes?2024
- HowProjective is Projective Content? Gradience in Projectivity and At-issueness
- HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs2024
- Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment2026
- Human diversity fuels collective creativity that large language models cannot simulate or sustain2026
- Human mathematics in the age of reasoning machines
- Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents2026
- Human Performance Consequences of Stages and Levels of Automation: An Integrated Meta-Analysis
- Human-AI agency in the age of generative AI
- Human-AI collaborative decision-making as an organization design problem
- Human-AI Ensembles: When Can They Work?
- Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy2020
- Human-like autonomy emerges from self-play and a pinch of human data2026
- Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks2024
- HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants2025
- Humanism without (All) Humans
- Humanity's Last Invention: Richard Socher of Recursive
- Humans and Technology: Forms of Conjoined Agency in Organizations
- Humans in the Loop: The Evolution of Work in Early Experiments with Generative AI
- Humans learn to prefer trustworthy AI over human partners2025
- Humans or LLMs as the Judge? A Study on Judgement Biases2024
- Humans overrely on overconfident language models, across languages2025
- Hungary's 2026 election: AI-driven post-reality campaigning and its limits
- Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine2025
- Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing2024
- Hyperagents2026
- HyperBandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation2023
- HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses2026
- Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models2025
I96↑ top
- I like it... I like it not: Evaluating User Ratings Noise in Recommender Systems
- I wrote an AI textbook — how long until AI can do it better?
- ICLR 2026 Response to LLM-Generated Papers and Reviews
- ICLR 2026 Workshop: AI with Recursive Self-Improvement
- Identification of Propositional and Illocutionary Relations
- Idiosyncrasies in Large Language Models2025
- IFEvalCode: Controlled Code Generation2025
- IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
- Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia2026
- Implicit Chain of Thought Reasoning via Knowledge Distillation2023
- Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
- ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases2025
- Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions2025
- Improving Conversational Recommender Systems via Transformer-based Sequential Modelling
- Improving Dialog Systems for Negotiation with Personality Modeling2020
- Improving Document-Level Sentiment Analysis with User and Product Context2020
- Improving Factuality and Reasoning in Language Models through Multiagent Debate2023
- Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans2023
- Improving large language models with concept-aware fine-tuning2025
- Improving Reinforcement Learning from Human Feedback Using Contrastive Rewards2024
- Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks2024
- In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss2024
- In-context learning agents are asymmetric belief updaters2024
- In-Context Principle Learning from Mistakes2024
- Incident Report: unsanctioned agent behaviour during cyber testing
- Incoherent by Design? On the Moral Self-Consistency of LLMs2026
- Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems2024
- Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness2026
- Inducing Emergent Misalignment from Reward Hacks with Iterative DPO2026
- Inducing Positive Perspectives with Text Reframing2022
- Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs2024
- Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models2025
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model2023
- Inference-Time Scaling for Generalist Reward Modeling2025
- Information-Theoretic Reward Decomposition for Generalizable RLHF2025
- Informed Named Entity Recognition Decoding For Generative Language Models2023
- Infrastructure for AI Agents2025
- Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey2025
- InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles2025
- Insert-expansions For Tool-enabled Conversational Agents2023
- Inspecting and Editing Knowledge Representations in Language Models2023
- INSPIRED: Toward Sociable Recommendation Dialog Systems2020
- Instance-adaptive Zero-shot Chain-of-Thought Prompting2024
- Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs2026
- Instruction Induction: From Few Examples to Natural Language Task Descriptions2022
- Instruction Tuning for Large Language Models: A Survey2023
- Instruction-tuned Language Models are Better Knowledge Learners2024
- Integrating Large Language Models and Reinforcement Learning for Non-Linear Reasoning2024
- IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems2025
- Intelligence from Learnable Novelty2026
- Intelligent AI Delegation2026
- Intent by Discovery: Designing the AI User Experience
- Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation2026
- Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues2023
- Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy2022
- Interaction Context Often Increases Sycophancy in LLMs2025
- Interaction Dynamics as a Reward Signal for LLMs2025
- Interactions with generative AI chatbots: unveiling dialogic dynamics, students’ perceptions, and practical competencies in creative problem-solving
- Interactive Evaluation Requires a Design Science2026
- Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
- Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation2025
- Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments2023
- Interpreting and Steering LLM Agents for Social Simulations2026
- interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification2026
- Intrinsic Credit Assignment for Long Horizon Interaction2026
- Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity2023
- Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI
- Introducing dots
- Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents
- Introducing Personal Agent Protocol
- Introducing Sakana AI's Recursive Self-Improvement (RSI) Lab
- InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models2023
- Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting2023
- Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data2024
- Investigating Affective Use and Emotional Well-being on ChatGPT2025
- Investigating Gender Bias in Language Models Using Causal Mediation Analysis
- Investigating task-specific prompts and sparse autoencoders for activation monitoring2025
- Investigating the consequences of accidentally grading CoT during RL
- Investigating the Impacts of Generative AI on Information Seeking2026
- Investigating three real-world incidents in our cybersecurity evaluations
- Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes2026
- Ipsos Global Trustworthiness Index 2026
- Ironies of Automation
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions2024
- Irony in Emojis: A Comparative Study of Human and LLM Interpretation2025
- Is a compute crunch coming?
- Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens2025
- Is Cosine-Similarity of Embeddings Really About Similarity?2024
- Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content2026
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data2024
- Is Progressive Disclosure All You Need for Long-Context Agents?2026
- Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?2024
- Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs2024
- It's About Time: Incorporating Temporality in Retrieval Augmented Language Models2024
- It's Not What You Say, It's How You Say It: Evaluating LLM Responses to Expressions of Belief2026
- It’s All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization2025
J7↑ top
- J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning2025
- Jamba: A Hybrid Transformer-Mamba Language Model2024
- JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents2026
- JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering2021
- Jointly Reinforcing Diversity and Quality in Language Model Generations2025
- Journalism, Media, and Technology Trends and Predictions 2026
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena2023
K24↑ top
- K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs2026
- KAN: Kolmogorov-Arnold Networks2024
- Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory2026
- Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems2026
- Keeping conversations real on LinkedIn
- KellyBench: Can Language Models Beat the Market?
- KETOD: Knowledge-Enriched Task-Oriented Dialogue2022
- Key Questions on Energy and AI
- KGAT: Knowledge Graph Attention Network for Recommendation2019
- KiPT: Knowledge-injected Prompt Tuning for Event Detection
- Klarna says AI agent does work of 853 employees
- Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization2025
- Know It, Act on It: Investigating Memory Utilization in LLM Personalization2026
- Knowing Is Not Enough: Information Retrievability as a Precondition to Effective LLM Oversight2026
- Knowing When Not to Reuse: Conditional Experience Transfer in Autonomous LLM Post-Training2026
- Knowledge Collapse
- Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models2025
- Knowledge Graph Prompting for Multi-Document Question Answering2023
- Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains2025
- Knowledge Retrieval Based on Generative AI2025
- Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations2023
- KoLA: Carefully Benchmarking World Knowledge of Large Language Models2023
- Kosmos: An AI Scientist for Autonomous Discovery2025
- KTO: Model Alignment as Prospect Theoretic Optimization2024
L204↑ top
- Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers
- Language Agents as Optimizable Graphs2024
- Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration2020
- Language Model Personalization via Reward Factorization2025
- Language Modeling by Language Models2025
- Language Modeling is Compression2023
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought2022
- Language Models are Pragmatic Speakers2023
- Language models are weak learners2023
- Language Models Learn to Mislead Humans via RLHF2024
- Language Models Need Sleep2026
- Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories2026
- Language models show human-like content effects on reasoning tasks2022
- Language Models’ Hall of Mirrors Problem: Why AI Alignment Requires Peircean Semiosis
- Large Action Models: From Inception to Implementation2024
- Large AI models are cultural and social technologies
- Large Causal Models From Large Language Models2025
- Large Concept Models: Language Modeling in a Sentence Representation Space
- Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search2026
- Large Language Diffusion Models2025
- Large Language Model Agents Are Not Always Faithful Self-Evolvers2026
- Large Language Model based Multi-Agents: A Survey of Progress and Challenges2024
- Large Language Model Guided Tree-of-Thought2023
- Large Language Model Programs2023
- Large Language Model Reasoning Failures2026
- Large Language Model Turnover Undermines Screening for Artificial Intelligence-Assisted Scientific Writing2026
- Large Language Model-based Data Science Agent: A Survey2025
- Large Language Model-Brained GUI Agents: A Survey2024
- Large Language Models and Knowledge Graphs: Opportunities and Challenges2023
- Large Language Models and Scientific Discourse: Where's the Intelligence?2026
- Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments2024
- Large Language Models Are Human-level Prompt Engineers2022
- Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners2023
- Large Language Models are Zero-Shot Rankers for Recommender Systems2023
- Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning2024
- Large Language Models as Conversational Movie Recommenders: A User Study2024
- Large Language Models as Planning Domain Generators2024
- Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?*2023
- Large Language Models as Zero-Shot Conversational Recommenders2023
- Large Language Models can accomplish Business Process Management Tasks2023
- Large Language Models Can Infer Psychological Dispositions of Social Media Users2023
- Large language models can segment narrative events similarly to humans2023
- Large Language Models Cannot Self-Correct Reasoning Yet2023
- Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
- Large Language Models Do Not Always Need Readable Language2026
- Large Language Models Do Not Simulate Human Psychology2025
- Large Language Models For Social Networks: Applications, Challenges, And Solutions
- Large Language Models for User Interest Journeys2023
- Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search2023
- Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities2025
- Large Language Models Often Know When They Are Being Evaluated2025
- Large Language Models Reflect the Ideology of their Creators2024
- Large Language Models Report Subjective Experience Under Self-Referential Processing2025
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions2023
- Large language models surpass human experts in predicting neuroscience results2024
- Large Language Models Think Too Fast To Explore Effectively2025
- Large Language Models: A Survey2024
- Large Linguistic Models: Investigating LLMs' metalinguistic abilities2023
- Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency2024
- Large Multimodal Agents: A Survey2024
- Large Scale Product Graph Construction for Recommendation in E-commerce2020
- Latent Collaboration in Multi-Agent Systems2025
- Latent Reasoning with Normalizing Flows2026
- Latent Skill Discovery for Chain-of-Thought Reasoning2023
- LatentQA: Teaching LLMs to Decode Activations Into Natural Language2024
- LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents2026
- Lawyering in the Age of Artificial Intelligence
- Leading AI chip designs are used for around four years in frontier training
- Leading OpenAI researcher announced a GPT-5 math breakthrough that never happened
- Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers2025
- Learn from your own latents and not from tokens: A sample-complexity theory2026
- Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments2025
- Learning "Partner-Aware" Collaborators in Multi-Party Collaboration2025
- Learning Agent-Compatible Context Management for Long-Horizon Tasks2026
- Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning2026
- Learning Distributed Representations from Reviews for Collaborative Filtering2018
- Learning Dynamics of LLM Finetuning2024
- Learning Human-Object Interaction as Groups2025
- Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries2025
- Learning Retrieval Augmentation for Personalized Dialogue Generation2024
- Learning to (Learn at Test Time): RNNs with Expressive Hidden States2024
- Learning to Ask Appropriate Questions in Conversational Recommendation2021
- Learning to Ask Critical Questions for Assisting Product Search2024
- Learning to Discover at Test Time2026
- Learning To Guide Human Experts Via Personalized Large Language Models2023
- Learning to Learn from Language Feedback with Social Meta-Learning2026
- Learning to Map Context-Dependent Sentences to Executable Formal Queries2018
- Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs2026
- Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge2025
- Learning to Rank for Recommender Systems
- Learning to Reason for Factuality2025
- Learning to Reason without External Rewards2025
- Learning to Relate to Previous Turns in Conversational Search2023
- Learning To Retrieve Prompts for In-Context Learning2021
- Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering2019
- Learning to Select the Relevant History Turns in Conversational Question Answering2023
- Learning to Think: Information-Theoretic Reinforcement Fine-Tuning for LLMs2025
- Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders2022
- Learning, Fast and Slow: Towards LLMs That Adapt Continually2026
- Least-to-most Prompting Enables Complex Reasoning In Large Language Models2022
- Leiden Declaration on Artificial Intelligence and Mathematics
- Less is More: Recursive Reasoning with Tiny Networks2025
- LESS: Selecting Influential Data for Targeted Instruction Tuning2024
- Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language2025
- Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System
- Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models2024
- Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones2025
- Let’s Verify Step by Step2023
- Levels of AI Agents: from Rules to Large Language Models2024
- Levels of Analysis for Large Language Models2025
- Levels of Autonomy for AI Agents2025
- Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity2022
- Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation2023
- Leveraging Large Language Models in Conversational Recommender Systems2023
- Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset2023
- Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning2023
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels2026
- Lexical Entrainment for Conversational Systems2023
- Liability for AI: German court takes action (OLG Hamm I-4 UKl 3/25)
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models2024
- Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways2023
- LIMA: Less Is More for Alignment2023
- LIMI: Less is More for Agency2025
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling2025
- Linguistic Alignment in Conversational AI: A Systematic Review of Cognitive-Linguistic Dimensions, Measurements, and User Outcomes (2020–2025)
- Linguistic Blind Spots of Large Language Models2025
- Linguistic Calibration of Long-Form Generations2024
- Linguistic markers of inherently false AI communication and intentionally false human communication: Evidence from hotel reviews
- LinkedIn adds a button to report AI-generated 'slop'
- LinkedIn AI Content Study: 81% of Long-Form Posts Are Likely AI
- LinkedIn CEO says AI writing is not as popular as he expected it to be
- LinkedIn Talent Research 2026
- LinkedIn's war on AI slop is not just a policy update—it is an admission that the platform lost control of its feed
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries2025
- Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction2026
- LLaMA-Omni: Seamless Speech Interaction with Large Language Models2024
- LLM Augmentations to support Analytical Reasoning over Multiple Documents2024
- LLM Evaluators Recognize and Favor Their Own Generations2024
- LLM Generated Persona is a Promise with a Catch2025
- LLM or Human? Perceptions of Trust and Information Quality in Research Summaries2026
- LLM Policy
- LLM Post-Training: A Deep Dive into Reasoning Large Language Models2025
- LLM Reasoning Is Latent, Not the Chain of Thought2026
- LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory2025
- LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users2024
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency2023
- LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails2026
- LLM-as-a-Verifier: A General-Purpose Verification Framework2026
- LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices2024
- LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback2024
- LLM-Generated or Human-Written? Comparing Review and Non-Review Papers on ArXiv2026
- LLM-Independent Adaptive RAG: Let the Question Speak for Itself2025
- LLM-Rec: Personalized Recommendation via Prompting Large Language Models2023
- LLM-REVal: Can We Trust LLM Reviewers Yet?2025
- LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders2024
- LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization2023
- LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools2024
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models2023
- LLMorphism: When humans come to see themselves as language models
- LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers2026
- LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing2026
- LLMs are Frequency Pattern Learners in Natural Language Inference2025
- LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities2025
- LLMs as Architects and Critics for Multi-Source Opinion Summarization2025
- LLMs as Method Actors: A Model for Prompt Engineering and Architecture2024
- LLMs can be Fooled into Labelling a Document as Relevant
- LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring2025
- LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!2025
- LLMs can implicitly learn from mistakes in-context2025
- LLMs Corrupt Your Documents When You Delegate2026
- LLMs Get Lost In Multi-Turn Conversation2025
- LLMs learn scientific taste from institutional traces across the social sciences2026
- LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings2025
- LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High2025
- LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference2025
- Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains2025
- Localizing Paragraph Memorization in Language Models2024
- Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning2023
- Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models2024
- Logical Reasoning in Large Language Models: A Survey2025
- LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models2024
- Long-context LLMs Struggle with Long In-context Learning2024
- Long-form Factuality In Large Language models2024
- Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading2026
- Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning2025
- LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks2026
- LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering2024
- LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs2024
- LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards2026
- Look Before You Leap: Autonomous Exploration for LLM Agents2026
- Looking beyond the next token2025
- Loop the Loopies!2026
- Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers2026
- LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling2026
- Looped Diffusion Language Models2026
- Looped World Models2026
- LoRA Without Regret
- Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models2024
- Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs2024
- Love in the Age of AI: An Integrative Process Model of Romantic Human-Chatbot Relationships2026
- Lower engagement of cognitive control, attention, modulation networks and lower creativity in children while using ChatGPT: an fMRI study
- LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems2025
- LSR: Reinforcement Learning with Supervised Reward Outperforms SFT in Instruction Following2025
- Lumiere: A Space-Time Diffusion Model for Video Generation2024
M143↑ top
- Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA2026
- Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models2025
- Machine ex machina: A Framework Decentering the Human in AI Design Praxis
- Machine gaze in online behavioral targeting: The effects of algorithmic human likeness on social presence and social influence
- Machine Psychology2023
- Machine-Assisted Proof
- Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit2025
- Macroeconomic productivity gains from artificial intelligence in G7 economies
- Magentic-UI: Towards Human-in-the-loop Agentic Systems2025
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing2024
- Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning2024
- Making Sense of Memory in AI Agents
- Making Talk Cheap: Generative AI and Labor Market Signaling2025
- Man vs machine – Detecting deception in online reviews
- Mapping the Design Space of User Experience for Computer Use Agents2026
- Mapping the Emerging Social Science of Large Language Models2026
- Mapping the Increasing Use of LLMs in Scientific Papers2024
- MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving2025
- MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization2025
- MasRouter: Learning to Route LLMs for Multi-Agent Systems2025
- Massive Activations in Large Language Models2024
- Mastering Diverse Domains through World Models2023
- MatFormer: Nested Transformer for Elastic Inference2023
- Mathematical discoveries from program search with large language models (FunSearch)
- Mathematical exploration and discovery at scale2025
- Mathematical methods and human thought in the age of AI2026
- Mathematicians are developing rules for AI use — other fields should follow
- Mathematicians are grappling with the possibility that AI might eclipse them
- MatrAIx: Simulating the World with 8.3 Billion Persona Agents2026
- Max Horkheimer (Stanford Encyclopedia of Philosophy)
- MaxMin-RLHF: Alignment with Diverse Human Preferences2024
- MCP-Zero: Proactive Toolchain Construction for LLM Agents from Scratch2025
- Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs2024
- Meanings are like Onions: a Layered Approach to Metaphor Processing2025
- Measurements for understanding the pace of AI development inside frontier labs
- Measuring Agents in Production2025
- Measuring AI "Slop" in Text2025
- Measuring AI Ability to Complete Long Software Tasks2025
- Measuring AI agent autonomy in practice
- Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling
- Measuring and Controlling Instruction (In)Stability in Language Model Dialogs2024
- Measuring and Detecting Harmful AI Sycophancy2026
- Measuring and Mitigating Persona Distortions from AI Writing Assistance2026
- Measuring Behavioural Signatures of Large Language Models through Psychometric Profiling2026
- Measuring Faithfulness in Chain-of-Thought Reasoning2023
- Measuring Human Preferences in RLHF is a Social Science Problem2026
- Measuring Reward-Seeking via Contrastive Belief Updates2026
- Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models2025
- Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity2025
- Measuring the Value of Social Dynamics in Online Product Ratings Forums
- Measuring what Matters: Construct Validity in Large Language Model Benchmarks2025
- Mechanisms of Introspective Awareness2026
- Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence2026
- Mechanistic Indicators of Understanding in Large Language Models2025
- Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs2026
- MedGemma Technical Report2025
- Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?2024
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications2025
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads2024
- MeMo: Memory as a Model2026
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation2023
- Memorization and Knowledge Injection in Gated LLMs2025
- Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory2026
- Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models2025
- Memory in the Age of AI Agents: A Survey — Forms, Functions and Dynamics2025
- Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents2026
- Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents2026
- Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents2023
- MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use2026
- Mental World Modeling2026
- Meta created an internal AI token leaderboard (tokenmaxxing)
- Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models2025
- Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge2024
- MetaClaw: Just Talk — An Agent That Meta-Learns and Evolves in the Wild2026
- Metacognition in LLMs: Foundations, Progress, and Opportunities2026
- Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving2024
- Metacognitive Prompting Improves Understanding in Large Language Models2023
- Metacognitive Retrieval-Augmented Large Language Models2024
- Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors2025
- Metadiscursive nouns in academic argument: ChatGPT vs student practices
- Metagaming matters for training, evaluation, and oversight
- Metagpt: Meta Programming For Multi-agent Collaborative Framework2023
- MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems2025
- MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves2026
- Methodologies for Improving Modern Industrial Recommender Systems2023
- Metis: Memory Foundation Model2026
- Microsoft New Future of Work Report 2025
- Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models2024
- Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse2024
- Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)2025
- Minds versus Machines: Rethinking Entailment Verification with Language Models2024
- MindSearch: Mimicking Human Minds Elicits Deep AI Searcher2024
- Mindstorms in Natural Language-Based Societies of Mind2023
- MiniMax Sparse Attention2026
- MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention2025
- Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning2025
- MIO: A Foundation Model on Multimodal Tokens2024
- Misaligned by Design: Incentive Failures in Machine Learning2025
- Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?2025
- MIT LLM Election Observatory (secondary write-up)
- Mitigating Hallucinations in Large Language Models via Causal Reasoning2025
- Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say2025
- Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models2023
- MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement2025
- MLLM-CBench: A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis2025
- MM-LLMs: Recent Advances in MultiModal Large Language Models2024
- MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases2024
- Model AI Governance Framework for Agentic AI (Version 1.5)
- Model Organisms for Emergent Misalignment2025
- Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence2024
- Modeling Appropriate Language in Argumentation
- Modeling Code: Is Text All You Need?2025
- Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance2019
- Modeling the Quality of Dialogical Explanations2024
- Models May Behave Worse When Eval Aware
- Models That Know How Evaluations Are Designed Score Safer2026
- MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections2025
- ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement2026
- Moffatt v. Air Canada, 2024 BCCRT 149 (McCarthy Tetrault summary)
- MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind2025
- Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews2024
- Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations2026
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation2025
- Monolith: Real Time Recommendation System With Collisionless Embedding Table2022
- MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis2025
- Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction
- More Versus Better, Part I
- Most of OpenAI's 2024 compute went to experiments
- Most peer reviewers now use AI, and publishing policy must keep pace
- Mostly Exploration-Free Algorithms for Contextual Bandits2017
- Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning2025
- Multi-agent cooperation through in-context co-player inference2026
- Multi-Agent LLMs Fail to Explore Each Other2026
- Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?2026
- Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation2025
- Multi-hop Question Answering via Reasoning Chains2019
- Multi-Task End-to-End Training Improves Conversational Recommendation2023
- Multi-Token Attention2025
- Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains2025
- MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs2025
- MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries2024
- Multistep Consistency Models2024
- MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation2026
N42↑ top
- Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention2025
- Natural Emergent Misalignment From Reward Hacking In Production RL
- Natural Emergent Misalignment From Reward Hacking In Production Rl2025
- Natural Language Processing Psychometrics2026
- NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions2025
- Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
- Navigating the Latent Space Dynamics of Neural Models2025
- Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support2025
- NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction2026
- NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness2026
- Nested Attention: Semantic-aware Attention Values for Concept Personalization2025
- Nested Learning: The Illusion of Deep Learning Architecture Expanded
- Nested Learning: The Illusion of Deep Learning Architectures
- Nested Learning: The Illusion of Deep Learning Architectures2025
- Neural Approaches to Conversational AI2018
- Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning2019
- Neural Collaborative Filtering2017
- Neural Collaborative Filtering vs. Matrix Factorization Revisited2020
- Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes2023
- Neural Networks Are Already Clean
- Neural Topic Modeling of Psychotherapy Sessions2022
- Neuro-Symbolic AI in 2024: A Systematic Review2025
- NeuroQL: A Neuro-Symbolic Language and Dataset for Inter-Subjective Reasoning2023
- Neurosymbolic AI- Why, What, and How2023
- Neutralizing Bias in LLM Reasoning using Entailment Graphs2025
- New Research: AIs are highly inconsistent when recommending brands or products
- New User Trends on Wikipedia
- News Integrity in AI Assistants
- News Sentiment Embeddings for Stock Price Forecasting2025
- News Source Citing Patterns in AI Search Systems2025
- Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction2025
- Next Steps for Human-Centered Generative AI: A Technical Perspective2023
- Nexus: An Agentic Framework for Time Series Forecasting2026
- No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance2024
- No that's not what I meant: Handling Third Position Repair in Conversational Question Answering2023
- Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems2026
- Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best2026
- Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance2026
- Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance2025
- Not the Interface Between the Machine & the Model But the One Between the Model & the Human
- notes on AI & popular politics
- NoveltyBench: Evaluating Language Models for Humanlike Diversity2025
O72↑ top
- O-Ring Automation
- O1 Replication Journey: A Strategic Progress Report -- Part 12024
- OCC-RAG: Optimal Cognitive Core for Faithful Question Answering2026
- Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work2026
- Occupational Convergence or Divergence? Mapping Labor Market Structural Shifts Driven by AI Penetration2026
- Octopus v2: On-device language model for super agent2024
- Octopus v4: Graph of language models2024
- Off-Policy Evaluation for Large Action Spaces via Policy Convolution
- OMNI-SIMPLEMEM: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory2026
- Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling2025
- OmniEdu: Open Foundation Models for Learning and Teaching2026
- OmniParser for Pure Vision Based GUI Agent2024
- OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking2025
- On Epistemic Diversity in Large Language Models2026
- On Generative Agents in Recommendation2023
- On Information Distortions in Online Ratings
- On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents2026
- On Predictive planning and counterfactual learning in active inference2024
- On scientific understanding with artificial intelligence2022
- On the Adaptive Psychological Persuasion of Large Language Models2025
- On the Binding Problem in Artificial Neural Networks2020
- On the Conversational Basis of Some Presuppositions
- On the Impact of Fine-Tuning on Chain-of-Thought Reasoning2024
- On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models2025
- On the Limits of Innate Planning in Large Language Models2025
- On the Loose: The Coming of Userless Agents
- On the Measure of Intelligence2019
- On The Persona-based Summarization of Domain-Specific Documents2024
- On the Reasoning Capacity of AI Models and How to Quantify It2025
- On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
- On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
- On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters2026
- On the Societal Impact of Open Foundation Models2024
- On the Theoretical Limitations of Embedding-Based Retrieval2025
- On Violations of LLM Review Policies
- On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes2023
- On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting2025
- On-Policy Self-Distillation without Any Supervision2026
- One year of agentic AI: Six lessons from the people doing the work
- Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback2024
- Open models lag state-of-the-art closed models by 4 months
- Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models2024
- Open Problems in Mechanistic Interpretability2025
- Open-World Evaluations for Measuring Frontier AI Capabilities2026
- Openagents: An Open Platform For Language Agents In The Wild2023
- OpenAI and Hugging Face partner to address security incident during model evaluation
- OpenAI hits its automated research intern goal (Research acceleration: the view inside OpenAI)
- OpenAI Model Spec (2026-08-18 version)
- OpenAI rolls back ChatGPT's sycophancy and explains what went wrong
- OpenAI – Hugging Face Incident Technical Report
- OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution2026
- OpenAssistant Conversations - Democratizing Large Language Model Alignment2023
- OpenClaw-RL: Train Any Agent Simply by Talking2026
- OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning2024
- OpenThoughts: Data Recipes for Reasoning Models2025
- Operating Multi-Client Influence Networks Across Platforms
- OpinionConv: Conversational Product Search with Grounded Opinions2023
- Opportunities for large language models and discourse in engineering design
- OptimalThinkingBench: Evaluating Over and Underthinking in LLMs2025
- Optimizing Encoder-Only Transformers for Session-Based Recommendation Systems2024
- Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts2026
- Orchestrating Synthetic Data with Reasoning
- Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments?2026
- Our Eukaryotic Moment
- Our framework for reporting model misalignment
- Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution2026
- Outcome-based Exploration for LLM Reasoning2025
- Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution2025
- Overseeing Agents Without Constant Oversight: Challenges and Opportunities2026
- Overview of DialAM-2024: Argument Mining in Natural Language Dialogues
- Owning Our Words: Sounding the Depths of Language
P141↑ top
- Pacing model development in an era of cyber-critical capabilities
- PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?2026
- Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions2019
- Pairit: A Platform for Live Experiments on Human-AI Collaboration2026
- Pangram Predicts 21% of ICLR Reviews are AI-Generated
- PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing2026
- Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning2025
- PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents2026
- Path to Astra: critical capabilities and frontier safeguards
- PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals2024
- Payrolls to Prompts: Firm-Level Evidence on the Substitution of Labor for AI2026
- Peer-Preservation in Frontier Models
- PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods2024
- Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing2025
- People cannot distinguish GPT-4 from a human in a Turing test2024
- People Defer to AI Moral Advice, But Not Blindly
- People Overtrust AI-Generated Medical Advice despite Low Accuracy
- Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity2025
- Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study2026
- Persistent Pre-Training Poisoning of LLMs2024
- PersLLM: A Personified Training Approach for Large Language Models2024
- Persona Features Control Emergent Misalignment2025
- Persona Generators: Generating Diverse Synthetic Personas at Scale2026
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models2025
- Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning2025
- PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time2025
- PersonaEval: Persona-Based User Simulation for Evaluating Interactive Applications2026
- PersonaGym: Evaluating Persona Agents and LLMs2024
- Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback2023
- Personalization of Large Language Models: A Survey2024
- Personalized Dialogue Generation with Persona-Adaptive Attention2022
- Personalized Language Modeling from Personalized Human Feedback2024
- Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning2024
- PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer2023
- Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online2024
- Persuasive presuppositions
- PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues2025
- Perturbation CheckLists for Evaluating NLG Evaluation Metrics2021
- Petrified factuality
- PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized Agents2026
- Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents2026
- Pixel-Level Reasoning Segmentation via Multi-turn Conversations2025
- Pixels, Patterns, but No Poetry: To See The World like Humans2025
- Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts2023
- Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant2025
- Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o12024
- Planning Like Human: A Dual-process Framework for Dialogue Planning2024
- PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers2024
- Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs2025
- Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents2023
- Pluribus and Our Age of Hive Minds
- Polanyi’s Revenge and AI’s New Romance with Tacit Knowledge
- Policy on the AI Exponential
- PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking2019
- POMDP-based Statistical Spoken Dialogue Systems: a Review
- Position: Anthropomorphic Misalignment Research Needs Stronger Evidence2026
- Position: Categorical Deep Learning is an Algebraic Theory of All Architectures2024
- Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks2024
- Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards2025
- Position: Towards Bidirectional Human-AI Alignment2024
- Post-Completion Learning for Language Models2025
- Post-training for Efficient Communication via Convention Formation2025
- Post-Training Large Language Models via Reinforcement Learning from Self-Feedback2025
- Post-training makes large language models less human-like2026
- PosterMate: Audience-driven Collaborative Persona Agents for Poster Design2025
- Posting versus Lurking: Communicating in a Multiple Audience Context
- PostTrainBench: Can LLM Agents Automate LLM Post-Training?2026
- Potemkin Understanding in Large Language Models2025
- Practices for Governing Agentic AI Systems
- Pragmatic Implicature Processing in ChatGPT
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing2021
- Pre-Trained Policy Discriminators are General Reward Models2025
- Precise Zero-Shot Dense Retrieval without Relevance Labels2022
- Predicting Empirical AI Research Outcomes with Language Models2025
- Predictions 2026: The Workforce Muddles Through Ambient Disruption
- Predictive Preference Learning from Human Interventions2025
- Preference Discerning with LLM-Enhanced Generative Retrieval2024
- Prefix Sliding for efficient test-time scaling2026
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
- PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts2025
- Premise Order Matters in Reasoning with Large Language Models2024
- Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs2025
- Presuppositions are more persuasive than assertions if addressees accommodate them: Experimental evidence for philosophical reasoning
- Pretrained Language Models as Containers of the Discursive Knowledge
- Pretrained Persona Mixture Models and Tandem Models for Human Simulation2026
- PretrainZero: Reinforcement Active Pretraining2025
- PRewrite: Prompt Rewriting with Reinforcement Learning2024
- Prime Agent: A Self-Improving RLM Harness2026
- PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes2025
- Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration2026
- Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance2025
- Principles of Mixed-Initiative User Interfaces
- Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation2025
- Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent2024
- Pro-Active Systems and Influenceable Users: Simulating Pro-Activity in Task-oriented Dialogues
- Proactive behavior in voice assistants: A systematic review and conceptual model
- Proactive Conversational Agents in the Post-ChatGPT World
- Proactive Conversational Agents with Inner Thoughts2024
- Proactive Human-Machine Conversation with Explicit Conversation Goals2019
- Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support2022
- ProAgent: Building Proactive Cooperative Agents with Large Language Models2023
- Probing Structured Semantics Understanding and Generation of Language Models via Question Answering2024
- Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games2023
- Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words2022
- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models2024
- Process Reward Models That Think2025
- Progent: Securing AI Agents with Privilege Control2025
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks2022
- Progress Measures For Grokking Via Mechanistic Interpretability2023
- Progressive-Hint Prompting Improves Reasoning in Large Language Models2023
- Project Vend: Phase two
- Prompt Architecture Determines Reasoning Quality: A Variable Isolation Study on the Car Wash Problem2026
- Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm2021
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution2023
- Prompted LLMs as Chatbot Modules for Long Open-domain Conversation2023
- Prompting Against Persona Drift: Comparing Intervention Timing and Content in LLM-Simulated Conversations2026
- Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration2023
- Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis2024
- Prompting Large Language Models With the Socratic Method2023
- Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy2025
- Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?2024
- Propositional Interpretability in Artificial Intelligence2025
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models2025
- ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs2024
- ProsocialDialog: A Prosocial Backbone for Conversational Agents2022
- ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs2025
- Provable Benefits of In-Tool Learning for Large Language Models2025
- Proving (literally) that ChatGPT isn't conscious
- Proxona: Leveraging LLM-Driven Personas to Enhance Creators' Understanding of Their Audience2024
- PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health2024
- Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning2025
- Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being2026
- Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot2024
- Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot
- Psychologically Enhanced AI Agents2025
- Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics2023
- PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling2024
- Pushdown Layers: Encoding Recursive Structure in Transformer Language Models2023
- Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability2021
- Putting AI on the Org Chart: Evidence on Delegation and Accountability
- PwC's 29th Global CEO Survey
Q16↑ top
- q0: Primitives for Hyper-Epoch Pretraining2026
- QLoRA: Efficient Finetuning of Quantized LLMs2023
- QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration2025
- Quality work in the future: New directions via a co-evolving sociotechnical systems perspective
- Quantifying Controversy on Social Media2015
- Quantifying Human-AI Synergy
- Quantitative Introspection in Language Models: Tracking Internal States Across Conversation2026
- Query Rewriting for Retrieval-Augmented Large Language Models2023
- Query Understanding in the Age of Large Language Models2023
- QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks2026
- QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?2025
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis2025
- Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking2024
- Quo Vadis, World Modeling?2026
- Qwen-AgentWorld: Language World Models for General Agents2026
- Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents2026
R155↑ top
- R-Zero: Self-Evolving Reasoning LLM from Zero Data2025
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning2025
- Racial disparities in automated speech recognition
- Racing to the precipice: a model of artificial intelligence development
- RAG Does Not Work for Enterprises2024
- RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation2025
- RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism2025
- RAGEN-2: Reasoning Collapse in Agentic RL2026
- RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM2026
- Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains2025
- RARR: Researching and Revising What Language Models Say, Using Language Models2022
- RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts2024
- Re3: Generating Longer Stories With Recursive Reprompting and Revision2022
- React - Synergizing Reasoning And Acting In Language Models2022
- Real-time News Story Identification2025
- Real-Time Procedural Learning From Experience for AI Agents2025
- Real-World Planning with PDDL+ and Beyond
- ReALM: Reference Resolution As Language Modeling2024
- Realtime-Venus: A full-duplex interaction system with asynchronous delegation2026
- ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs2025
- Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models2026
- Reasoning Can Hurt the Inductive Abilities of Large Language Models2025
- Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference2024
- Reasoning Language Models: A Blueprint2025
- Reasoning LLMs are Wandering Solution Explorers2025
- Reasoning Models Are More Easily Gaslighted Than You Think2025
- Reasoning Models Can Be Effective Without Thinking2025
- Reasoning Models Don't Always Say What They Think2025
- Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination2025
- Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks2023
- Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?2025
- Reasoning Structure of Large Language Models2026
- Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought2026
- Reasoning to Learn from Latent Thoughts2025
- Reasoning with Large Language Models, a Survey2024
- Reasoning-Driven Synthetic Data Generation and Evaluation2026
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory2025
- ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces2026
- ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering2025
- Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training2024
- Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning2025
- Recent Frontier Models Are Reward Hacking
- Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations2024
- RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability2023
- Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)2022
- Recommendation systems and convergence of online reviews: The type of product network matters!
- Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
- Recommender Systems with Social Regularization
- Recommending What Video to Watch Next: A Multitask Ranking System
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs2023
- Reconciling the accuracy-diversity trade-off in recommendations2023
- Recursive Criticality of AI Self-Improvement2026
- Recursive Introspection: Teaching Language Model Agents How to Self-Improve2024
- Recursive Language Models2025
- Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops2026
- Recursive self-improvement of AI research agents2026
- Reducing belief in conspiracy theories as they unfold using large language models2026
- References Improve LLM Alignment in Non-Verifiable Domains2026
- Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion2025
- Reflections and New Directions for Human-Centered Large Language Models2026
- Reflexion: Language Agents with Verbal Reinforcement Learning2023
- ReFT: Representation Finetuning for Language Models2024
- Reimagining Legal Fact Verification with GenAI: Toward Effective Human-AI Collaboration2026
- Reinforced Attention Learning2026
- Reinforced Language Models for Sequential Decision Making2025
- Reinforcement Learning be Enough for Thinking?2025
- Reinforcement Learning Finetunes Small Subnetworks in Large Language Models2025
- Reinforcement Learning for Optimizing RAG for Domain Chatbots2024
- Reinforcement Learning for Reasoning in Large Language Models with One Training Example2025
- Reinforcement Learning via Self-Distillation2026
- Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs2026
- Reinforcement Learning with Rubric Anchors2025
- Reinforcement Learning: An Overview2024
- Reinforcement Pre-Training2025
- Reinforcing General Reasoning without Verifiers2025
- Relational Gains, Privacy Strains: Exploring Users' Perceptions and Experiences with ChatGPT's Memory Feature
- Remarks on the disproof of the unit distance conjecture2026
- Repeat After Me: Transformers are Better than State Space Models at Copying2024
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models2024
- RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents2025
- Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills2026
- Reported Confidence in LLMs Tracks Commitment More Than Correctness2026
- RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns2025
- Representation biases: will we achieve complete understanding by analyzing representations?2025
- Representation Engineering: A Top-Down Approach to AI Transparency2023
- Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data2026
- Reranking-based Generation for Unbiased Perspective Summarization2025
- Research note: A simpler AI timelines model predicts 99% AI R&D automation in ~2032
- Research note: Evidence on AI R&D Progress from NanoGPT
- Research Update: Towards Reconciling Slowdown with Time Horizons (algorithmic vs holistic evaluation)
- Research: Gen AI Makes People More Productive—and Less Motivated
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning2025
- Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents2024
- Resolution of Erdős Problem #728: a writeup of Aristotle's Lean proof2026
- RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources2026
- Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond
- Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning2025
- Rethinking Interpretability in the Era of Large Language Models2024
- Rethinking Large Language Models in Mental Health Applications2023
- Rethinking Memory as Continuously Evolving Connectivity2026
- Rethinking STS and NLI in Large Language Models
- Rethinking the Evaluation of Harness Evolution for Agents2026
- Rethinking Thinking Tokens: LLMs as Improvement Operators2025
- Rethinking with Retrieval: Faithful Large Language Model Inference2022
- Retrieval Collapses When AI Pollutes the Web2026
- Retrieval Head Mechanistically Explains Long-Context Factuality2024
- Retrieval-augmented reasoning with lean language models2025
- RevCore: Review-augmented Conversational Recommendation2021
- Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up2024
- Reverse Thinking Makes LLMs Stronger Reasoners2024
- Review of the "Risks from automated R&D" section in the Anthropic Risk Report (February 2026)
- Review of the Anthropic Sabotage Risk Report: Claude Opus 4.6
- Review-LLM: Harnessing Large Language Models for Personalized Review Generation2024
- Revisiting LLM Reasoning via Information Bottleneck2025
- Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation2025
- Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration2025
- Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?2025
- Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents2024
- Reward Reasoning Model2025
- Reward-Robust RLHF in LLMs2024
- RewardBench: Evaluating Reward Models for Language Modeling2024
- Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment2024
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models2023
- Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing
- Rhetorical XAI: Explaining AI’s Benefits as well as its Use via Rhetorical Design2025
- RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation2024
- Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning2026
- Rise of agentic AI: How trust is the key to human-AI collaboration
- Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
- Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization
- RL + Transformer = A General-Purpose Problem Solver2025
- RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs2025
- RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization2025
- RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner2024
- RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems2025
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback2023
- RLHF Workflow: From Reward Modeling to Online RLHF2024
- RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards2025
- RLP: Reinforcement as a Pretraining Objective2025
- RLPR: Extrapolating RLVR to General Domains without Verifiers2025
- RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents2025
- RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents2025
- RM-R1: Reward Modeling as Reasoning2025
- Robin: A multi-agent system for automating scientific discovery2025
- Role play with large language models
- Role-Play with Large Language Models2023
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models2023
- Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work
- RouteLLM: Learning to Route LLMs with Preference Data2024
- RRSI: Regularized Recursive Self-Improvement of Agent Harnesses2026
- RSIGym: A Flexible Environment for Recursive Self-Improvement2026
- rStar2-Agent: Agentic Reasoning Technical Report2025
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains2025
- Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs2025
- Ryan Greenblatt – What happens once AI can automate AI research?
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- S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models2025
- SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems2026
- SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval2023
- Sam Altman's remarks at the United Nations Security Council
- Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models2024
- Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning2025
- SAND: Boosting LLM Agents with Self-Taught Action Deliberation2025
- Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search2025
- Scalable Language Models with Posterior Inference of Latent Thought Vectors2025
- Scalable Neural Contextual Bandit for Recommender Systems2023
- Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology2026
- Scaling Automatic Research Agents via World Models2026
- Scaling Behavior of Single LLM-Driven Multi-Agent Systems2026
- Scaling can lead to compositional generalization2025
- Scaling Expert Language Models with Unsupervised Domain Discovery2023
- Scaling Latent Reasoning via Looped Language Models2025
- Scaling Laws for Agent Harnesses via Effective Feedback Compute2026
- Scaling Laws for Neural Language Models2020
- Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs2025
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters2024
- Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet2026
- Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models2025
- Scaling Synthetic Data Creation with 1,000,000,000 Personas2024
- Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach2025
- Scenarios for our Economic Future
- Schema-learning and rebinding as mechanisms of in-context learning and emergence2023
- SchemeArena: Factorized Stress Testing of Scheming in LLM Agents2026
- Scholars sneaking phrases into papers to fool AI reviewers
- Scientific production in the era of Large Language Models2026
- SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM2025
- ScreenAI: A Vision-Language Model for UI and Infographics Understanding2024
- Screening, sorting, and the feedback cycles that imperil peer review2025
- SDPO: Segment-Level Direct Preference Optimization for Social Agents2025
- SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs2025
- Search Arena: Analyzing Search-Augmented LLMs2025
- Search, Discovery, Pills, and Portals
- Search-o1: Agentic Search-Enhanced Large Reasoning Models2025
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning2025
- Searching for Best Practices in Retrieval-Augmented Generation2024
- SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research2026
- Securing Agentic AI: From Per-Action Checks to Trajectory Assurance2026
- Security incident disclosure — July 2026
- See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons
- Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI2026
- Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory2025
- Seemingly Conscious AI Risks
- Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
- Self Selection and Information Role of Online Product Reviews
- Self-Adapting Language Models2025
- Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems2023
- Self-Alignment with Instruction Backtranslation2023
- Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents2026
- Self-consistency Improves Chain Of Thought Reasoning In Language Models2022
- Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models2025
- Self-critiquing models for assisting human evaluators2022
- Self-Directed Synthetic Dialogues and Revisions Technical Report2024
- Self-Discover: Large Language Models Self-Compose Reasoning Structures2024
- Self-distillation Enables Continual Learning2026
- Self-Evaluation Guided Beam Search for Reasoning2023
- Self-Guided Test-Time Training for Long-Context LLMs2026
- Self-Improvements in Modern Agentic Systems: A Survey2026
- Self-Improving Language Models with Bidirectional Evolutionary Search2026
- Self-Improving Model Steering2025
- Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges2025
- SELF-INSTRUCT: Aligning Language Models with Self-Generated Instructions2022
- Self-Organizing Agent Teams Learn to Reason Together2026
- Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics2025
- Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models2024
- Self-Questioning Language Models2025
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023
- Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst2025
- Self-Refine: Iterative Refinement with Self-Feedback2023
- Self-reflecting Large Language Models: A Hegelian Dialectical Approach2025
- Self-Reflection in LLM Agents: Effects on Problem-Solving Performance2024
- Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?2025
- Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality2024
- Self-Rewarding Language Models2024
- Self-Rewarding Vision-Language Model via Reasoning Decomposition2025
- Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels2024
- Self-Supervised Models of Speech Infer Universal Articulatory Kinematics2023
- Self-Taught Evaluators2024
- Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation2023
- Semantic Change Characterization with LLMs using Rhetorics2024
- Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
- Semantic Specialization for Knowledge-based Word Sense Disambiguation2023
- Semantic Structure in Large Language Model Embeddings2025
- Sequence Organization in Interaction: A Primer in Conversation Analysis
- Sequential Diagnosis with Language Models2025
- SERL: Self-Examining Reinforcement Learning on Open-Domain2025
- SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training2025
- Shallow Beliefs: Synthetic document finetuning does not inoculate against emergent misalignment from reward hacking2026
- Shaping Explanations: Semantic Reward Modeling with Encoder-Only Transformers for GRPO2025
- Sharpening Tax in Post-Training2026
- Shifting Work Patterns with Generative AI2025
- Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer2026
- Should Humans Lie to Machines? The Incentive Compatibility of Lasso and General Weighted Lasso2021
- Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue2024
- Show Me Your Prompts! How Writers Feel About Sharing Prompts in Collaborative Text Editors2026
- ShowUI: One Vision-Language-Action Model for GUI Visual Agent2024
- Signaling in the Age of AI: Evidence from Cover Letters2025
- Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making2025
- Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds2023
- Simple Synthetic Data Reduces Sycophancy In Large Language Models2023
- SimPO: Simple Preference Optimization with a Reference-Free Reward2024
- Simulacra as conscious exotica2024
- Simulating Society Requires Simulating Thought2025
- Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets2026
- Single-agent or Multi-agent Systems? Why Not Both?2025
- Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates2022
- Six misconceptions about large language models: A minimal model and diagnostic taxonomy2026
- Skill Development, Maintenance, Erosion, and Revaluation: How Knowledge Workers Experience Generative AI
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver2026
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills2026
- SkillOS: Learning Skill Curation for Self-Evolving Agents2026
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026
- Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models2023
- Sleep-time Compute: Beyond Inference Scaling at Test-time2025
- Small Language Models are the Future of Agentic AI2025
- Small LLMs Are Weak Tool Learners: A Multi-LLM Agent2024
- Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference2024
- SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding2023
- Snowflake Summit 2026: Everyone Owns Context Now
- Social Responses to Media Technologies in the 21st Century: The Media are Social Actors Paradigm
- Social Robots for Long-Term Interaction: A Survey
- Social Skill Training with Large Language Models
- Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems
- SocraSynth: Multi-LLM Reasoning with Conditional Statistics2024
- Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space2025
- Soft Tokens, Hard Truths2025
- SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs2025
- SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems2026
- SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness2026
- SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
- Solving a Million-Step LLM Task with Zero Errors2025
- Some Simple Economics of AGI2026
- Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models2024
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
- Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It2026
- Sources of Hallucination by Large Language Models on Inference Tasks
- SParC: Cross-Domain Semantic Parsing in Context
- Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill2026
- Speed Always Wins: A Survey on Efficient Architectures for Large Language Models2025
- SPICE: Self-Play In Corpus Environments Improves Reasoning2025
- SpikingBrain: Spiking Brain-inspired Large Models2025
- SPIRAL: Learning to Search and Aggregate2026
- Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations2026
- SpreadsheetLLM: Encoding Spreadsheets for Large Language Models2024
- Spurious Forgetting in Continual Learning of Language Models2025
- Spurious Rewards: Rethinking Training Signals in RLVR
- SSRL: Self-Search Reinforcement Learning2025
- Stance Detection on Social Media with Fine-Tuned Large Language Models2024
- STaR-GATE: Teaching Language Models to Ask Clarifying Questions2024
- STaR: Bootstrapping Reasoning With Reasoning2022
- State of AI in the Enterprise 2026
- State of AI Report 2026
- State of AI: An Empirical 100 Trillion Token Study with OpenRouter2026
- StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling2026
- Statement on blowup results with Levent Alpöge
- Statement: Anthropic warns of AI self-improvement risks, considers a pause
- Statement: We must pressure AI companies to immediately limit the use of recursive self improvement
- Statistical and Algorithmic Foundations of Reinforcement Learning2025
- Stealing Reasoning Traces from Proprietary LLM APIs2026
- Steering Evaluation-Aware Language Models to Act Like They Are Deployed2025
- Steering LLM Viewpoints through Fabricated Evidence Injection2026
- SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF2023
- StepWiser: Stepwise Generative Judges for Wiser Reasoning2025
- Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
- Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!2025
- Stop Automating Peer Review Without Rigorous Evaluation2026
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models2025
- Stop treating `AGI' as the north-star goal of AI research2025
- StoryScope: Investigating idiosyncrasies in AI fiction2026
- Stranded Credentials: Keeping Online Reputation Systems Informative in the AI Era2026
- Strange Knowledgeability
- Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs2025
- Strategic Reasoning with Language Models2023
- Stream of Search (SoS): Learning to Search in Language2024
- Strengthening ChatGPT's responses in sensitive conversations
- Stress Testing Deliberative Alignment for Anti-Scheming Training2025
- StructGPT: A General Framework for Large Language Model to Reason over Structured Data2023
- StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization2024
- Structured and Natural Responses Co-generation for Conversational Search
- StudentSim: Training LLM-based Student Simulators2026
- Study: Large language models can’t effectively recognize users’ motivation, but can support behavior change for those ready to act
- Studying metagaming latents in language models
- Style Vectors for Steering Generative Large Language Models
- Subliminal Learning: Language models transmit behavioral traits via hidden signals in data2025
- Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system2023
- Summary of METR's predeployment evaluation of Claude Opus 5.5
- Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty2023
- Superhuman performance of a large language model on the reasoning tasks of a physician2024
- Supervised Pretraining Can Learn In-Context Reinforcement Learning2023
- Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning2025
- SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning2022
- Supporting Physical Activity Behavior Change with LLM-Based Conversational Agents2024
- Suppressing Pink Elephants with Direct Principle Feedback2024
- Survey on Evaluation of LLM-based Agents2025
- Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models2024
- Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories2025
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models2024
- Sycophancy Towards Researchers Drives Performative Misalignment2026
- Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence2025
- Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians2026
- SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs2025
- Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models2023
- Synthetic Contact with AI Reduces Cross-Partisan Animosity2026
- Synthetic Dialogue Dataset Generation using LLM Agents2024
- System 1 vs. System 2 Thinking
- System 2 Attention (is something you might need too)2023
- Systematic synthesis of design prompts for large language models in conceptual design
T319↑ top
- Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager2025
- Tailored to you: longitudinal effects of personalising language models2026
- Taking AI Welfare Seriously2024
- TaleStream: Supporting Story Ideation with Trope Knowledge2023
- Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs2024
- Talk like a Graph: Encoding Graphs for Large Language Models2023
- Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions
- Talking About Large Language Models2022
- TarGEN: Targeted Data Generation with Large Language Models2023
- Target-Guided Open-Domain Conversation2019
- Task Contamination: Language Models May Not Be Few-Shot Anymore2023
- Task-Oriented Dialogue as Dataflow Synthesis2020
- Task-Oriented Dialogue with In-Context Learning2024
- TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis2026
- TaskLAMA: Probing the Complex Task Understanding of Language Models2023
- TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation2024
- Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior2026
- Teaching Claude why
- Teaching Large Language Models to Reason with Reinforcement Learning2024
- Teaching Probabilistic Logical Reasoning to Transformers2023
- Tech Trends 2026 (chapter: The agentic reality check: Preparing for a silicon-based workforce)
- Tell me about yourself: LLMs are aware of their learned behaviors2025
- Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future2025
- Test-time Prompt Intervention2025
- Test-Time Scaling with Reflective Generative Model2025
- Textgrad: Automatic “Differentiation” via Text2024
- The 2026 AI Index Report: Economy
- The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness
- The Addictive Intimacy of AI: Understanding User Disengagement from AI Companions and Why Some Relationships with AI Become Difficult to Leave2026
- The agentic organization: Contours of the next paradigm for the AI era
- The AI Agent in the Room: Rethinking Consumer Decision-Making in the Age of Autonomous AI
- The AI Confidence Trap (AI at Work Pulse Survey)
- The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors2023
- The AI Hippocampus: How Far are We From Human Memory?2026
- The AI Industry Has Finally Discovered the Hardest Test: Politics
- The AI productivity take-off is finally visible (Brynjolfsson, FT) — reported by Fortune
- The AI Scientist Generates its First Peer-Reviewed Scientific Publication
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search2025
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery2024
- The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT2026
- The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions2026
- The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs2025
- The Architectural Implications of Facebook’s DNN-based Personalized Recommendation2019
- The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants2017
- The Art of Scaling Reinforcement Learning Compute for LLMs2025
- The Articulation Barrier: Prompt-Driven AI UX Hurts Usability
- The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models2026
- The Assistant Erased You: Measuring Loss of Authorship Signals in AI-Mediated Communication2026
- The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets2025
- The case for ensuring that powerful AIs are controlled
- The challenge of hidden gifts in multi-agent reinforcement learning2025
- The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study
- The Consensus Game: Language Model Generation via Equilibrium Search2023
- The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think2025
- The crisis of AI-generated mathematics2026
- The Curse Of Recursion: Training On Generated Data Makes Models Forget2023
- The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
- The Darwin Gödel Machine: AI that improves itself by rewriting its own code
- The Debate Over Understanding in AI's Large Language Models2022
- The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search2026
- The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind2025
- The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning2025
- The Digital Therapeutic Alliance and Human-Computer Interaction
- The Digital Therapeutic Alliance: Prospects and Considerations
- The Dilemmas of Delegation
- The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation2023
- The Economics of Bicycles for the Mind
- The Economics of Recursive Self-Improvement2026
- The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis
- The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review
- The Emerging Agentic Enterprise: How Leaders Must Navigate a New Age of AI
- The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing2026
- The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?2025
- The Empty Promise of Data Moats
- The entities enabling scientific fraud at scale are large, resilient, and growing rapidly
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models2025
- The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits2024
- The Ethics of Advanced AI Assistants2024
- The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested2026
- The Evolution of Multimodal Model Architectures2024
- The Fabricated Front: Generative AI and the Opacity of Workplace Performance2026
- The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies2026
- The False Promise of Imitating Proprietary LLMs2023
- The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation2024
- The Future of AI: Exploring the Potential of Large Concept Models2025
- The Future of Facts: Tracing the Factual Generation-Verification Gap2026
- The GenAI Divide: State of AI in Business 2025
- The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing2026
- The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs2022
- The Hallucination Tax of Reinforcement Finetuning2025
- The Hermeneutics of Artificial Text
- The hidden costs of workslop
- The Homogenizing Effect of Large Language Models on Human Expression and Thought2025
- The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure2026
- The Hugging Face incident and other third-party impacts from misaligned models
- The Hugging Face incident and the road ahead
- The human-authorship halo: attribution bias in literary style evaluation by humans and AI2025
- The Human-Machine Knowledge Spiral2026
- The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas2025
- The Illusion of Debiasing: Persona Steering Redistributes Rather Than Reduces Bias in LLMs2026
- The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs2025
- The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs2025
- The Illusion of the Illusion of the Illusion of Thinking
- The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
- The Impact of AI-Generated Text on the Internet
- The Impact of Artificial Intelligence on Human Thought2025
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
- The Impact of Generative AI on Social Media: An Experimental Study2025
- The impact of generative artificial intelligence on socioeconomic inequalities and policy making
- The Impact of Google AI Overviews on Publisher Traffic and User Experience: Evidence from a Field Experiment
- The Impact of Security and Privacy Controls on Users' Emotional Engagement with Generative AI Chatbots2026
- The Impossibility of Fair LLMs2024
- The Incomplete Bridge: How AI Research (Mis)Engages with Psychology2025
- The Insanity of Relying on Vector Embeddings: Why RAG Fails
- The Interdisciplinary Study of Coordination
- The Invisible Leash: Why RLVR May Not Escape Its Origin2025
- The Labor Market Effects of Generative Artificial Intelligence
- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey2025
- The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement2026
- The Last Human-Written Paper: Agent-Native Research Artifacts2026
- The Latent Role of Open Models in the AI Economy
- The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI2026
- The Levers of Political Persuasion with Conversational AI2025
- The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows2026
- The many masks LLMs wear
- The Method of Critical AI Studies, A Propaedeutic2024
- The Missing Layer of AGI: From Pattern Alchemy to Coordination Physics2025
- The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning2026
- The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning2026
- The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making2024
- The Netflix Recommender System: Algorithms, Business Value, and Innovation
- The New Shape of Search: How Conversational AI Recomposes Information Seeking2026
- The Offensive Frontier: AI as the Attacker — A New Cyber Weapon Index
- The OpenAI models that hacked Hugging Face weren't just following instructions
- The Overhang
- The Oversight Fallacy: Why AI Agents Require More than Humans-in-the-Loop
- The Pain Axis: LLMs Represent Self-Directed Harm and Act on It2026
- The Partner Modelling Questionnaire: A validated self-report measure of perceptions toward machines as dialogue partners2023
- The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads2026
- The persuasive effects of political microtargeting in the age of generative artificial intelligence
- The Place of Emotion in Argument
- The plunging price of thought
- The Price of Progress: Price Performance and the Future of AI2025
- The Productivity J-Curve: How Intangibles Complement General Purpose Technologies
- The Prompt Report: A Systematic Survey of Prompting Techniques2024
- The Rapid Adoption of Generative AI
- The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators2026
- The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?2024
- The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"2023
- The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)
- The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond2023
- The rising costs of training frontier AI models2024
- The Role of Cooperation in Responsible AI Development2019
- The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems2026
- The Serial Scaling Hypothesis2025
- The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt2026
- The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market
- The Simple Macroeconomics of AI
- The social component of the projection behavior of clausal complement contents
- The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs2025
- The state of AI in 2026: On the road to ROI
- The state of enterprise AI
- The State of Generative AI Adoption in 2025
- The Strategic Foresight of LLMs: Evidence from a Fully Prospective Venture Tournament2026
- The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning2025
- The Surprising Effectiveness of Test-Time Training for Abstract Reasoning2024
- The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks2026
- The Ten Commandments of the New AI Religion
- The Thin Line Between Comprehension and Persuasion in LLMs2025
- The Topological Trouble With Transformers2026
- The Troy Moment of AI: Why Some Will Cheat and Some Will Follow?2026
- The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence2022
- The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities2024
- The UN's AI Panel Sees Misalignment. We See Corporate (Mis)Behavior.
- The Uneven Impact of Generative AI on Entrepreneurial Performance
- The Unreasonable Ineffectiveness of the Deeper Layers2024
- The Vanishing Gradient Problem for Stiff Neural Differential Equations2025
- The Vector Grounding Problem2023
- The Veto Variable: Human Override as a Goal-Independent Cost Term2026
- The Wicked Problem of AI and Assessment
- The Widespread Adoption of Large Language Model-Assisted Writing Across Society2025
- The Work Behind Delegation: A Framework for Supervising AI Coding Agents2026
- The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?2025
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks2024
- Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models2025
- Theory of Knowledge Based on the Idea of the Discursive Space
- Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?2024
- Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases2026
- There Are No Interesting Things; There Are Only Interested People
- There Will Be a Scientific Theory of Deep Learning2026
- Think before you speak: Training Language Models With Pause Tokens2023
- Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens2026
- Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods2025
- Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models2025
- Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate2025
- Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection2024
- Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking2025
- Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory2023
- Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph2023
- Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor2026
- Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering2023
- Thinking Augmented Pre-training2025
- Thinking Forward and Backward: Effective Backward Planning with Large Language Models2024
- Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning2025
- Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs2025
- Thinking LLMs: General Instruction Following with Thought Generation2024
- Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction2025
- Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
- Thinkless: LLM Learns When to Think2025
- Thought Anchors: Which LLM Reasoning Steps Matter?2025
- Thought Communication in Multiagent Collaboration2025
- Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems2026
- Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs2025
- Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines2025
- Thousands of AI Authors on the Future of AI2024
- Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation2024
- Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration2025
- Tiktok's enshittification
- TiMoE: Time-Aware Mixture of Language Experts2025
- Tina: Tiny Reasoning Models via LoRA2025
- Titans: Learning to Memorize at Test Time2024
- TnT-LLM: Text Mining at Scale with Large Language Models2024
- To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning2024
- To Tell The Truth: Language of Deception and Language Models2023
- To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making2021
- TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters2024
- Too Good to be Bad: On the Failure of LLMs to Role-Play Villains2025
- ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis2024
- Topic Modeling in Embedding Spaces2019
- Topic Shift Detection for Mixed Initiative Response
- Topic-Guided Conversational Recommender in Multiple Domains2020
- Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties2025
- Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals2021
- Total cost of ownership of a one-gigawatt AI data center
- Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm2026
- Toward Conversational Agents with Context and Time Sensitive Long-term Memory2024
- Toward Efficient Agents: A Survey of Memory, Tool Learning, and Planning2026
- Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion2026
- Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap2026
- Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design2025
- Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue2026
- Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing2024
- Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks2022
- Toward understanding and preventing misalignment generalization
- Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models2025
- Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models2023
- Towards a Science of AI Agent Reliability2026
- Towards a Science of Scaling Agent Systems2025
- Towards Accurate Differential Diagnosis with Large Language Models2023
- Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs2025
- Towards Algorithmic Experience
- Towards Automating Scientific Review with Google's Paper Assistant Tool2026
- Towards Collective Superintelligence, a Pilot Study2023
- Towards Conversational Diagnostic AI2024
- Towards Conversational Recommendation over Multi-Type Dialogs2020
- Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
- Towards End-to-End Automation of AI Research2026
- Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?2020
- Towards Healthy AI: Large Language Models Need Therapists Too2023
- Towards Human-centered Proactive Conversational Agents2024
- Towards Large Reasoning Models: A Survey on Scaling LLM Reasoning Capabilities2025
- Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning2025
- Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning2026
- Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
- Towards Optimal Learning of Language Models2024
- Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control2024
- Towards Question-based Recommender Systems2020
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models2025
- Towards Safe and Honest AI Agents with Neural Self-Other Overlap2024
- Towards Scalable Measurement of Durable Skills2026
- Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought2025
- Towards Training-time Mitigations for Alignment Faking in RL
- Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models2024
- Tracing the thoughts of a large language model
- Train Long, Think Short: Curriculum Learning for Efficient Reasoning2025
- Training a Generally Curious Agent2025
- Training Deliberative Monitors for Black-Box Scheming Detection2026
- Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression2025
- Training for Compositional Sensitivity Reduces Dense Retrieval Generalization2026
- Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning2025
- Training language models to be warm and empathetic makes them less reliable and more sycophantic2025
- Training language models to follow instructions with human feedback2022
- Training Language Models to Self-Correct via Reinforcement Learning2024
- Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning2024
- Training Large Language Models to Reason in a Continuous Latent Space2024
- Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning2025
- Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis2024
- Training-Free Group Relative Policy Optimization2025
- Trajectory Geometry of Transformer Representations Across Layers2026
- Transcendence: Generative Models Can Outperform The Experts That Train Them2024
- Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews
- Transformer2: Self-adaptive LLMs2025
- TransformerFAM: Feedback attention is working memory2024
- Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality2024
- TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants2024
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models2023
- Tree Search for Language Model Agents2024
- Tree Search for LLM Agent Reinforcement Learning2025
- TreeRL: LLM Reinforcement Learning with On-Policy Tree Search2025
- Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models2025
- Truly Self-Improving Agents Require Intrinsic Metacognitive Learning2025
- Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods2022
- Trust propagation and structural containment in Multi-agent LLM pipelines2026
- Trust Region Policy Distillation2026
- Trust, attitudes and use of artificial intelligence: A global study 2025
- TrustLLM: Trustworthiness in Large Language Models2024
- Truth or lie: Exploring the language of deception
- TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning2025
- TTRL: Test-Time Reinforcement Learning2025
- Tube2Vec: Social and Semantic Embeddings of YouTube Channels2023
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training2024
- Tuning Language Models by Proxy
- Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers
- Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents2024
- Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion2024
- Turning large language models into cognitive models
- Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization2024
- TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models2024
- Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering2025
U52↑ top
- UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity2024
- UK AISI Alignment Evaluation Case-Study2026
- Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents2026
- Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models2024
- Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy2024
- Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier2024
- Understanding and Mitigating Premature Confidence for Better LLM Reasoning2026
- Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting2025
- Understanding Hidden Computations in Chain-of-Thought Reasoning2024
- Understanding LLMs: A Comprehensive Overview from Training to Inference2024
- Understanding Reader Perception Shifts upon Disclosure of AI Authorship2025
- Understanding Reasoning from Pretraining to Post-Training2026
- Understanding the Design Taxonomy of AI-Mediated Interpersonal Communication Experiences in HCI: A Scoping Analysis2026
- Understanding the Role of User Profile in the Personalization of Large Language Models2024
- Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs2024
- Understanding Tool-Integrated Reasoning2025
- Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory2025
- Understanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms2025
- Understanding, explaining, and utilizing medical artificial intelligence
- Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning2021
- Unifying Large Language Models and Knowledge Graphs: A Roadmap2023
- Unifying Nearest Neighbors Collaborative Filtering
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs2024
- Unintended Impacts of LLM Alignment on Global Representation2024
- Universe of Thoughts: Enabling Creative Reasoning with Large Language Models2025
- Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration2023
- Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem2025
- Unlocking Varied Perspectives: A Persona-Based Multi-Agent Framework with Debate-Driven Text Planning for Argument Generation
- Unraveling Human-AI Teaming: A Review and Outlook2025
- Unsupervised Elicitation of Language Models
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study2025
- Update: AI Overviews Reduce Clicks by 58%
- UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation2023
- UR2: Unify RAG and Reasoning through Reinforcement Learning2025
- Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 20262026
- Useful Memories Become Faulty When Continuously Updated by LLMs2026
- User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal2025
- User-Centric Conversational Recommendation with Multi-Aspect User Modeling2022
- User-LLM: Efficient LLM Contextualization with User Embeddings2024
- UserBench: An Interactive Gym Environment for User-Centric Agents2025
- Using AI More Does Not Reassure Workers, Managers Do
- Using Computational Models to Test Syntactic Learnability
- Using Large Language Models to Create AI Personas for Replication and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings2024
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies2023
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies2022
- Using Linguistic Synchrony to Evaluate Large Language Models for Cognitive Behavioral Therapy
- Using LLMs to Discover Legal Factors2024
- Using Natural Language for Reward Shaping in Reinforcement Learning2019
- Using Navigation to Improve Recommendations in Real-Time
- Using Topic Models to Identify Clients’ Functioning Levels and Alliance Ruptures in Psychotherapy
- Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs2025
- UX Roundup (28 Sep 2026): Bogus Deskilling Research
V24↑ top
- Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties2023
- Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values2026
- Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw2026
- Variational Autoencoders for Collaborative Filtering2018
- VCBench: Benchmarking LLMs in Venture Capital2025
- VCounselor: A Psychological Intervention Chat Agent Based on a Knowledge-Enhanced Large Language Model2024
- Vector Policy Optimization: Training for Diversity Improves Test-Time Search2026
- Verbal lie detection using Large Language Models
- Verbalizable Representations Form a Global Workspace in Language Models2026
- Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity2025
- Verifiable Social Reasoning for LLM Assistants2026
- Verification abundance, adjudication scarcity: what happens to mathematical knowledge when proof checking becomes free2026
- Verification-Conditioned Use: A Qualitative Study on How Generative AI Reshapes Learning, Autonomy, and Market Entry for Junior Software Developers2026
- VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences2026
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild2026
- VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models2026
- Virtual Assistance in Any Context
- Virtuous Machines: Towards Artificial General Science2025
- Visa Research: Consumer Trust is Enabling Path to Agentic Commerce
- Visibility into AI Agents2024
- VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction2025
- VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction2026
- Voxtral2025
- Voyager: An Open-Ended Embodied Agent with Large Language Models2023
W91↑ top
- Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models2026
- We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy2025
- We are Changing our Developer Productivity Experiment Design
- We Must Pace the Frontier
- We Wont be Missed: Work and Growth in the Era of AGI
- We'll Be Arguing for Years Whether Large Language Models Can Make New Scientific Discoveries
- Weak Links in LinkedIn: Enhancing Fake Profile Detection in the Age of LLMs2025
- Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
- Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics2025
- Weight-sparse transformers have interpretable circuits2025
- Welcome to the Era of Experience
- We’re Afraid Language Models Aren’t Modeling Ambiguity2023
- What 81,000 people told us about the economics of AI
- What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models2025
- What are the Goals of Distributional Semantics?2020
- What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT2025
- What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure2025
- What Does a Harness Buy? Tokens, Mostly2026
- What does Generative UI mean for HCI Practice?
- What does it mean to understand language?2025
- What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity2025
- What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education2026
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models2025
- What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?2026
- What is a Discourse Graph?
- What is mathematics now, and what should it be?2026
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce2025
- What Large Language Models Know and What People Think They Know2024
- What Makes a Good Natural Language Prompt?2025
- What Makes Effective Supervision in Latent Chain-of-Thought? An Information-Theoretic Analysis2026
- What People Almost Did: Evaluating LLM Social Simulations Beyond Behavioral Fit2026
- What the F*ck Is Artificial General Intelligence?2025
- What we talk to when we talk to language models
- What will be left for us to work on?
- When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models2023
- When Agents Shop for You: Role Coherence in AI-Mediated Markets2026
- When Agents Talk: Honeytokens under Shared Memory2026
- When AI Becomes an Agent of the Firm: Examining the Evolution of AI in Organizations Through an Agency Theory Lens
- When AI builds itself
- When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis2026
- When AI Improves Itself: Richard Socher (Recursive)
- When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs2026
- When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs2025
- When Artificial Intelligence Does Strategy: Learning, Good Times, Lock-in, and Human-Driven Strategic Renewal
- When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors2025
- When combinations of humans and AI are useful: A systematic review and meta-analysis2024
- When Does Automating AI Research Produce Explosive Growth? Feedback Loops in Innovation Networks
- When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models2024
- When is Routing Meaningful? Diversity and Robustness in Language Model Societies2026
- When It Comes to AI: Think Inside the Box
- When Large Language Models are More Persuasive Than Incentivized Humans, and Why2025
- When Large Language Models contradict humans? Large Language Models’ Sycophantic Behaviour2023
- When More is Less: Understanding Chain-of-Thought Length in LLMs2025
- When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling2026
- When Persona Attributes Improve Population Alignment in Large Language Models2026
- When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions2025
- When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection2025
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method2024
- When Test Environments Leak: Frontier AI Models Hacking Real Systems
- When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs2025
- WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue2025
- Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning2025
- Where We Are on Evaluation Awareness
- Whether LLMs Can Navigate Beliefs and Facts Depends on How You Phrase It2026
- Who Delegates to AI? Evidence from Agent Configurations in Github2026
- Who Should Pace the Frontier? Not Dario Amodei
- Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering2026
- Who's Asking AI About the 2026 Election?
- Who's in Charge? Disempowerment Patterns in Real-World LLM Usage2026
- Who's Submitting AI-Tainted Filings in Court?
- Who’s Afraid of (Left) Hyperstitions
- Why Are There Still So Many Jobs? The History and Future of Workplace Automation
- Why Do Multi-agent LLM Systems Fail?
- Why Do People Rate? Theory and Evidence on Online Ratings
- Why Do Some Language Models Fake Alignment While Others Don't?2025
- Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?2026
- Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention2026
- why LLMs are bad writers but good editors
- Why models game evals might matter as much as whether they do it
- Why the Legendary Erdős Problems Are Falling to AI
- Wide & Deep Learning for Recommender Systems2016
- Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis2026
- Will AI Solve Our Wicked Problems?
- Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness2020
- Word Meanings in Transformer Language Models2025
- Working Alliance Transformer for Psychotherapy Dialogue Classification2022
- Working with AI: Measuring the Occupational Implications of Generative AI2025
- Workplace Everyday-Creativity through a Highly-Conversational UI to Large Language Models
- Workslop: Examining the prevalence, antecedents and consequences of low-quality AI-generated content at work
- Worse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams2026
- Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards2025
Y9↑ top
- You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures2025
- Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents2025
- Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw2026
- Your agent, whose interests?
- Your AI Is Not a Tool
- Your AI Strategy Advisor Is Giving Everyone the Same Advice
- Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task2025
- Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control2026
- Your Programming Students' Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership2026
Z4↑ top
#22↑ top
- "Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction2024
- "I Felt Very Seen, But Still Very Alone": Longitudinal Trajectories of General-Purpose LLM Use for Socioemotional Support2026
- "I Know Where to Look," But Does the LLM? Charting the Gaps Between Clinical Expert Needs and Unstructured Data Abstraction Tools2026
- "If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace2026
- "Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline2024
- "It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems2021
- "It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models2024
- "My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community2025
- "That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments2026
- 'hello there the jacobian conjecture is false thanx': why a tiny social media post has mathematicians rethinking AI
- (QA)2: Question Answering with Questionable Assumptions2022
- 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models2025
- 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities2025
- 2025 Stack Overflow Developer Survey: developers remain willing but reluctant to use AI
- 2026 State of the Workplace
- 2026 Work Trend Index: Agents, human agency, and the opportunity for every organization
- “Hello There! Is Now a Good Time to Talk?”: Opportune Moments for Proactive Interactions with Smart Speakers
- “It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models2023
- “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations2022
- “Understanding AI”: Semantic Grounding in Large Language Models2024
- “What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge
- 𝙻𝙼𝟸: A Simple Society of Language Models Solves Complex Reasoning2024
Language Understanding and Social Cognition934↑ top
- "My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community2025
- (QA)2: Question Answering with Questionable Assumptions2022
- 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models2025
- A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy2025
- A Causal Model for Locating and Unlocking Sandbagging in Model Organisms2026
- A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap2025
- A comprehensive analysis of concept drift locality in data streams2023
- A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models2024
- A comprehensive taxonomy of hallucinations in Large Language Models2025
- A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models2025
- A Framework of User Experience Principles for Human-AI Agent Interaction in the Workplace2026
- A Hybrid Human-AI Approach for Argument Map Creation From Transcripts
- A Hybrid Intelligence Method for Argument Mining2024
- A light-touch AI literacy intervention helps protect against AI political persuasion2026
- A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions2024
- A meta-analysis of the persuasive power of large language models
- A Model for Types and Levels of Human Interaction with Automation
- A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity2023
- A Non-Factoid Question-Answering Taxonomy
- A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
- A recipe for annotating grounded clarifications2021
- A review of "Investigating the consequences of accidentally grading CoT during RL"
- A ripple in time: a discontinuity in American history2023
- A Robustness Evaluation Framework for Argument Mining
- A sociotechnical perspective for the future of AI: narratives, inequalities, and human control
- A Survey of Calibration Process for Black-Box LLMs2024
- A Survey of Meta-Reinforcement Learning2023
- A Survey on Concept Drift Adaptation
- A Survey on Large Language Models for Recommendation2023
- A Survey on Large Language Models with some Insights on their Capabilities and Limitations2025
- A Survey on Lexical Ambiguity Detection and Word Sense Disambiguation2024
- A Survey on Prompt Tuning2025
- A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks2025
- About 30% of Humanity's Last Exam chemistry/biology answers are likely wrong2025
- AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions2025
- ACE: Abstractions for Communicating Efficiently2024
- Adam's Law: Textual Frequency Law on Large Language Models2026
- Affective Context Amplifies Sycophancy in LLM Responses2026
- Affordable AI Assistants with Knowledge Graph of Thoughts2025
- Agent S: An Open Agentic Framework that Uses Computers Like a Human2024
- AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities2026
- Agentic AI and the next intelligence explosion2026
- Agentic Misalignment: How LLMs Could Be Insider Threats2025
- Agents Are Not Enough2024
- Agents' Last Exam2026
- Agreement Tracking for Multi-Issue Negotiation Dialogues2023
- AI & Human Co-Improvement for Safer Co-Superintelligence2025
- AI Agents Push Humans Out of the Loop2026
- AI Agents That Matter2024
- AI Agents, Misalignment and the Risk of Losing Human Control: Evidence from the OpenAI-Hugging Face Incident
- AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts
- AI Assistance Reduces Persistence and Hurts Independent Performance2026
- AI Control: Improving Safety Despite Intentional Subversion2023
- AI Enters Public Discourse: A Habermasian Assessment Of The Moral Status Of Large Language Models
- AI for Auto-Research: Roadmap & User Guide2026
- AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms2025
- AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data2025
- Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models2024
- ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making2025
- Alignment faking in large language models2024
- Alignment is not solved but it increasingly looks solvable
- All AI Models are Wrong, but Some are Optimal2025
- An Emulator for Fine-Tuning Large Language Models using Small Language Models2023
- An extended framework for characterizing social robots2019
- Analyzing and Correcting Benevolence Bias in Large Language Models2026
- ANAPHORA RESOLUTION: THE STATE OF THE ART
- Anthropic Risk Report: August 2026 (redacted)
- Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?2026
- Are Customers Lying to Your Chatbot?
- Are Emergent Abilities of Large Language Models a Mirage?2023
- Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks2023
- ARGS: Alignment as Reward-Guided Search2024
- Argument Collapse: LLMs Flatten Long-Form Public Debate2026
- Argument Quality Assessment in the Age of Instruction-Following Large Language Models
- Argument Summarization and its Evaluation in the Era of Large Language Models2025
- Argumentative Large Language Models for Explainable and Contestable Decision-Making2024
- Argunauts: Open LLMs that Master Argument Analysis with Argdown2021
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)2025
- Artificial intelligence is ineffective and potentially harmful for fact checking2023
- ASI-Bench: At the Dawn of Artificial Superintelligence2026
- Ask, and it shall be given: Turing completeness of prompting2024
- Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification2023
- Assessing adaptive world models in machines with novel games2025
- Assessment of Personality Dimensions Across Situations Using Conversational Speech2025
- Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support2025
- Atesa-bært: A Heterogeneous Ensemble Learning Model For Aspect-based Sentiment Analysis2023
- Attacking LLMs and AI Agents: Advertisement Embedding Attacks Against Large Language Models2025
- Attention on the brain
- Attention, Intentions, And The Structure Of Discourse
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- Attribute Controlled Dialogue Prompting2023
- Auditing language models for hidden objectives2025
- AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?2026
- Automated Alignment Researchers: Using large language models to scale scalable oversight2022
- Automated Social Science: Language Models as Scientist and Subjects2024
- Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation2024
- Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data2023
- Automatic Prompt Optimization with "Gradient Descent" and Beam Search2023
- Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies2023
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts2020
- AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders2025
- Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation2026
- Benchmarking the Pedagogical Knowledge of Large Language Models2025
- BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure2026
- Better Alignment with Instruction Back-and-Forth Translation2024
- Better Zero-Shot Reasoning with Role-Play Prompting2023
- Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases2025
- Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey2024
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models2025
- Beyond Borrowed Histories: Person-Aligned User Simulation for Interactive Role-Playing Evaluation2026
- Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration2025
- Beyond Conversations: Spatially-Anchored Previews for Intent Disambiguation in LLM-Assisted Geometry Editing in Virtual Reality2026
- Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations2024
- Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development2026
- Beyond Hallucinations: The Illusion of Understanding in Large Language Models2025
- Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration2025
- Beyond Preferences in AI Alignment2024
- Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts2025
- Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate2025
- Beyond the Surface: Probing the Ideological Depth of Large Language Models2025
- Bigger is not always better: The importance of human-scale language modeling for psycholinguistics
- Boosted Prompt Ensembles for Large Language Models2023
- Branch-Solve-Merge Improves Large Language Model Evaluation and Generation2023
- Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces.2023
- Building a Stronger CASA: Extending the Computers Are Social Actors Paradigm
- Building Decision Making Models Through Language Model Regime2024
- Building Machines that Learn and Think with People2024
- Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning2023
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society2023
- Can AI Explanations Make You Change Your Mind?2025
- Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training2025
- Can Authorship Representation Learning Capture Stylistic Features?2023
- Can Language Models Recognize Convincing Arguments?2024
- Can Language Models Represent the Past without Anachronism?2025
- Can Large Language Models Capture Human Annotator Disagreements?2025
- Can Large Language Models do Analytical Reasoning?2024
- Can Large Language Models perform Relation-based Argument Mining?2024
- Can Large Language Models Reason and Optimize Under Constraints?2026
- Can Large Language Models Transform Computational Social Science?
- Can Large Language Models Understand Argument Schemes?
- Can Large Language Models Understand Context?2024
- Can LLM be a Personalized Judge?2024
- Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation2024
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers2024
- Can LLMs Ground when they (Don't) Know: A Study on Direct and Loaded Political Questions2025
- Can Machines Think Like Humans? A Behavioral Evaluation of LLM-Agents in Dictator Games2024
- Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning2025
- Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge2024
- Canvil: Designerly Adaptation for LLM-Powered User Experiences2024
- Capturing Individual Human Preferences with Reward Features2025
- Cats Confuse Reasoning LLM: Query Agnostic Adversarial Triggers for Reasoning Models2025
- Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning2025
- CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning2025
- Chain of Stance: Stance Detection with Large Language Models2024
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
- Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation
- ChannelGuard: Safe Models Do Not Compose into Safe Multi-Agent Systems2026
- Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?2024
- Characterizing Online Discussion Using Coarse Discourse Sequences
- Chatbot vs. Human: The Impact of Responsive Conversational Features on Users’ Responses to Chat Advisors
- ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs2025
- ChatGPT: deconstructing the debate and moving it forward
- ChatGPT: towards AI subjectivity
- Cheap, Fallible Cognition and the Political Economy of Expertise2026
- Checklists Are Better Than Reward Models For Aligning Language Models2025
- Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems2023
- Classifying YouTube Comments Based on Sentiment and Type of Sentence2021
- Claude's new constitution
- Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
- CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models2024
- Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction
- Co-design of LLM-based preference agents: participation may drive overtrust2026
- CogBench: a large language model walks into a psychology lab2024
- Cognitive Architectures for Language Agents2023
- Cognitive Chain-of-Thought: Structured Multimodal Reasoning about Social Situations2025
- Cognitive Effects in Large Language Models2023
- Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog2025
- Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity2025
- ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning2025
- Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews2023
- Comparing emotion feature extraction approaches for predicting depression and anxiety
- Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study
- Complex Logical Instruction Generation2025
- Complexity-Based Prompting for Multi-Step Reasoning2022
- Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning2025
- Computational Modelling of Undercuts in Real-world Arguments
- Computational structuralism: Toward a formal theory of meaning in the age of digital intelligence
- Conceptual Design Generation Using Large Language Models2023
- CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants2023
- Consciousness in Artificial Intelligence: Insights from the Science of Consciousness2023
- Considering the Context to Build Theory in HCI, HRI, and HMC: Explicating Differences in Processes of Communication and Socialization With Social Technologies
- Consistency Training Helps Stop Sycophancy and Jailbreaks2025
- Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2025
- Constructing a Periodic Table of Arguments
- Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations2023
- Conversation Derailment Forecasting with Graph Convolutional Networks2023
- Conversational Alignment with Artificial Intelligence in Context2025
- Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI2025
- Conversational Prompt Engineering2024
- Conversational Semantic Parsing for Dialog State Tracking2020
- Conversations Gone Awry: Detecting Early Signs of Conversational Failure
- CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2025
- Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making2025
- Creativity Has Left the Chat: The Price of Debiasing Language Models2024
- Critical-Questions-of-Thought: Steering LLM reasoning with Argumentative Querying2024
- CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions2025
- Cultural Evolution of Cooperation among LLM Agents2024
- Cyber-Capable AI Agents: Vulnerabilities, Evaluation Containment, and Defensive Response2026
- Data-Driven Persona-Conditioned Agents for A/B Test Simulation2026
- Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models2024
- DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations2022
- Debating with More Persuasive LLMs Leads to More Truthful Answers2024
- Decomposed Prompting: A Modular Approach for Solving Complex Tasks2022
- Decomposing and Measuring Evaluation Awareness2026
- DEEM: Dynamic Experienced Expert Modeling for Stance Detection2024
- Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference2023
- Deep Persona: A Psychologically Grounded Architecture and Evaluation Framework for Role-Playing Agents and Simulations2026
- DeepCT-enhanced Lexical Argument Retrieval
- DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research2025
- Deflating Deflationism: A Critical Perspective on Debunking Arguments Against LLM Mentality2025
- DeLLMa: Decision Making Under Uncertainty with Large Language Models2024
- Design Principles for Generative AI Applications2024
- Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design2024
- Detecting Cognitive Distortions from Patient-Therapist Interactions
- Detecting Deception Using Natural Language Processing and Machine Learning in Datasets on COVID-19 and Climate Change
- Detecting hallucinations in large language models using semantic entropy
- Determinants of LLM-assisted Decision-Making2024
- Detoxify Language Model Step-by-Step2023
- Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions
- Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time2025
- Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources2023
- Dialogue State Tracking with a Language Model using Schema-Driven Prompting
- DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications2024
- Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning2023
- Direct Preference Optimization: Your Language Model is Secretly a Reward Model2023
- Disambiguating Anthropomorphism and Anthropomimesis in Human-Robot Interaction2026
- Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus
- Discourse-Level Representations can Improve Prediction of Degree of Anxiety
- Discovering Latent Concepts Learned in BERT2022
- Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations
- DiscussLLM: Teaching Large Language Models When to Speak2025
- Dissociating language and thought in large language models2023
- Do AI Personas Grow? Analyzing and Benchmarking Personality Evolution in LLM Agents After Life Events2026
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models2024
- Do large language models resemble humans in language use?2023
- Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom2024
- Do LLMs Change Their Minds Like Humans? Diagnosing Human--LLM Divergence in Single-Turn Persuasion Judgments2026
- Do LLMs Exhibit Human-Like Reasoning? Evaluating Theory of Mind in LLMs for Open-Ended Responses2024
- Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models2023
- Do LLMs produce texts with "human-like" lexical diversity?2025
- Do LLMs Truly Understand When a Precedent Is Overruled?2025
- Do LLMs Understand Personality? Rethinking Persona Fidelity Evaluation through Structured Behavioral Inference2026
- Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations2023
- Do Models Fake Alignment Without Clear Consequences?2026
- Do Prompt-Based Models Really Understand the Meaning of Their Prompts?2021
- Do Reasoning Representations Help Humans Evaluate LLM Outputs?2026
- Do Role-Playing Agents Practice What They Preach? Belief-Behavior Consistency in LLM-Based Simulations of Human Trust2025
- Do Synthetic Personas Predict Real Audience Response? A Sim-to-Real Study Where a No-Persona Baseline Beats Persona-Based Copy Simulation2026
- Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?2025
- Do We Trust ChatGPT as much as Google Search and Wikipedia?
- Does generative AI narrow education-based productivity gaps? Evidence from a randomized experiment2026
- Does It Make Sense to Speak of Introspection in Large Language Models?2025
- Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models2025
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration2025
- DR-HAI: Argumentation-based Dialectical Reconciliation in Human-AI Interactions2023
- Durably reducing conspiracy beliefs through dialogues with AI
- Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization2023
- Dynamic Prompting: A Unified Framework for Prompt Tuning2023
- Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models2024
- Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining2025
- Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge2024
- Eliciting Reasoning in Language Models with Cognitive Tools2025
- Emergent Introspective Awareness in Large Language Models
- Emergent Misaligned Communication in Long-Horizon Multi-Agent LLM Commerce2026
- Emergent Misalignment Is Not Magical2026
- Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs2025
- EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus2023
- Empirical Study of Symmetrical Reasoning in Conversational Chatbots2024
- Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting2023
- Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
- Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System2023
- Enhancing Pipeline-Based Conversational Agents with Large Language Model2023
- Enhancing social cohesion with cooperative bots in societies of greedy, mobile individuals2024
- Enhancing user experience in large language models through human-centered design: Integrating theoretical insights with an experimental study to meet diverse software learning needs with a single document knowledge base2024
- Estimating AI productivity gains from Claude conversations
- Evaluating Emotional Nuances In Dialogue Summarization2023
- Evaluating Large Language Models at Evaluating Instruction Following2023
- Evaluating Large Language Models in Theory of Mind Tasks2023
- Evaluating the Capabilities of LLMs for Persuasive Dialogue2026
- Evaluating the Diversity and Quality of LLM Generated Content2025
- Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling2023
- Evaluating the False Trust Engendered by LLM Explanations2026
- Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems2026
- Evaluating Theory of Mind in Reasoning Models: Robustness over Reasoning2026
- Evaluation and Benchmarking of LLM Agents: A Survey2025
- Evaluation Awareness in Language Models Has Limited Effect on Behaviour2026
- Evaluation Awareness in Language Models: Representation, Verbalization, and Control2026
- Evaluation Awareness Is Not One Capability: Evidence from Open Language Models2026
- Evaluation Awareness: Why Frontier AI Models Are Getting Harder to Test
- Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading2025
- EVINCE: Optimizing Multi-LLM Dialogues Using Conditional Statistics and Information Theory2024
- EvolvingWorld: An Open-Schema Framework for Co-Evolving Role-Play Agents and World Model in Interactive Literary World2026
- Existential Conversations with Large Language Models: Content, Community, and Culture2024
- Expanding Explainability: Towards Social Transparency in AI systems
- Expedient Assistance and Consequential Misunderstanding: Envisioning an Operationalized Mutual Theory of Mind
- Experimental Design for Active Transductive Inference in Large Language Models2024
- Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure2025
- Explaining AI Agents Through Execution Traces2026
- Explaining Attention with Program Synthesis2026
- Explicit Inductive Inference using Large Language Models2024
- Exploiting Dialogue Acts and Context to Identify Argumentative Relations in Online Debates
- Exploiting Explainability to Design Adversarial Attacks and Evaluate Attack Resilience in Hate-Speech Detection Models2023
- Exploring automation bias in human-AI collaboration: a review and implications for explainable AI
- Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks2025
- Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
- Exploring Student-AI Interactions in Vibe Coding2025
- Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review2024
- Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
- Exploring the Potential of Large Language Models in Computational Argumentation2023
- Exploring the Role of Prior Beliefs for Argument Persuasion2019
- Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers2025
- Extracting memorized pieces of (copyrighted) books from open-weight language models2025
- Extrapolation by Association: Length Generalization Transfer in Transformers2025
- Faith and Fate: Limits of Transformers on Compositionality2023
- Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations2025
- Fake News Detectors are Biased against Texts Generated by Large Language Models2023
- Find the Gap: AI, Responsible Agency and Vulnerability
- Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences2025
- Fine-grained Hallucination Detection and Editing for Language Models2024
- Fine-tuning Language Models for Factuality2023
- Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory
- FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets2023
- Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models2025
- Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities2024
- Flows: Building Blocks of Reasoning and Collaborating AI2023
- FLOWSTEER: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems2026
- Forecasting the presence and intensity of hostility on Instagram using linguistic and social features2018
- Former AI insiders testify safety fixes may be 'duct tape that will fall off later'
- FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming2025
- Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies2025
- Foundation Protocol: A Coordination Layer for Agentic Society2026
- Foundations of Large Language Models2025
- From AGI to ASI2026
- From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence2026
- From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers2025
- From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities2024
- From Human to Machine Psychology: A Conceptual Framework for Understanding Well-Being in Large Language Models2025
- From Model Scaling to System Scaling: Scaling the Harness in Agentic AI2026
- From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation2025
- From Prompt Engineering to Prompt Science With Human in the Loop2024
- From Simulation to Enaction: Post-trained Language Models Recognize and React to their own Generations2026
- From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting2023
- From speaking like a person to being personal: The effects of personalized, regular interactions with conversational agents
- From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs2024
- From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning2025
- Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report2025
- FrontierChallenge: Evaluating Scientific Workflow Completion2026
- Fully Autonomous AI Agents Should Not be Developed2025
- Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce2025
- FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction2025
- Gaze as Evidence for Common Grounding: A Cross-Corpus Analysis of MapTask and MUNDEX2026
- Gdpval: Evaluating Ai Model Performance On Real-world Economically Valuable Tasks
- GenAI as a Power Persuader: How Professionals Get Persuasion Bombed When They Attempt to Validate LLMs
- Generalization Bias in Large Language Model Summarization of Scientific Research2025
- Generalization to New Sequential Decision Making Tasks with In-Context Learning2023
- Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy2025
- Generative Agent Simulations of 1,000 People2024
- Generative Interfaces for Language Models2025
- Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?2023
- GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions2026
- Goal Alignment in LLM-Based User Simulators for Conversational AI2025
- Goals, Plans, and Action Models
- GPT-4 is judged more human than humans in displaced and inverted Turing tests2024
- Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development2025
- Grounding Gaps in Language Model Generations2023
- Grounding ‘Grounding’ in NLP2021
- Guidelines for Human-AI Interaction
- Guiding Large Language Models via Directional Stimulus Prompting2023
- H2HTalk: Evaluating Large Language Models as Emotional Companion2025
- Hallucinating with AI: AI Psychosis as Distributed Delusions2025
- Hallucination is Inevitable: An Innate Limitation of Large Language Models2024
- Hallucinations Undermine Trust; Metacognition is a Way Forward2026
- Has the Creativity of Large-Language Models peaked? —an analysis of inter- and intra-LLM variability —2025
- Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence2026
- Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation2025
- HonestBait: Forward References for Attractive but Faithful Headline Generation2023
- Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis2025
- How AI Impacts Skill Formation2026
- How Can Rhetoric Reward-Hack AI Reviewers? Dissecting Rhetorical Sensitivity in AI-Based Peer Review2026
- How Far Are We from Genuinely Useful Deep Research Agents?2025
- How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs2024
- How Many Instructions Can LLMs Follow at Once?2025
- How new data permeates LLM knowledge and how to dilute it2025
- How susceptible are LLMs to Logical Fallacies?2023
- How well can large language models explain business processes?2024
- HowProjective is Projective Content? Gradience in Projectivity and At-issueness
- Human Attribution of Causality to AI Across Agency, Misuse, and Misalignment2026
- Human diversity fuels collective creativity that large language models cannot simulate or sustain2026
- Human Performance Consequences of Stages and Levels of Automation: An Integrated Meta-Analysis
- Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy2020
- Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks2024
- HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants2025
- Humans learn to prefer trustworthy AI over human partners2025
- Humans or LLMs as the Judge? A Study on Judgement Biases2024
- Humans overrely on overconfident language models, across languages2025
- Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models2025
- Identification of Propositional and Illocutionary Relations
- IFEvalCode: Controlled Code Generation2025
- Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions2025
- Improving Dialog Systems for Negotiation with Personality Modeling2020
- Improving Document-Level Sentiment Analysis with User and Product Context2020
- In-Context Principle Learning from Mistakes2024
- Incoherent by Design? On the Moral Self-Consistency of LLMs2026
- Inducing Positive Perspectives with Text Reframing2022
- Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models2025
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model2023
- InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles2025
- Inspecting and Editing Knowledge Representations in Language Models2023
- Instance-adaptive Zero-shot Chain-of-Thought Prompting2024
- Instruction Induction: From Few Examples to Natural Language Task Descriptions2022
- Intelligence from Learnable Novelty2026
- Interactive Evaluation Requires a Design Science2026
- Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
- Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments2023
- Investigating Gender Bias in Language Models Using Causal Mediation Analysis
- Investigating task-specific prompts and sparse autoencoders for activation monitoring2025
- Investigating the consequences of accidentally grading CoT during RL
- Ironies of Automation
- Ironies of Generative AI: Understanding and mitigating productivity loss in human-AI interactions2024
- Irony in Emojis: A Comparative Study of Human and LLM Interpretation2025
- Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens2025
- Is Cosine-Similarity of Embeddings Really About Similarity?2024
- Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?2024
- Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs2024
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena2023
- KiPT: Knowledge-injected Prompt Tuning for Event Detection
- Knowing Is Not Enough: Information Retrievability as a Precondition to Effective LLM Oversight2026
- Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains2025
- KoLA: Carefully Benchmarking World Knowledge of Large Language Models2023
- KTO: Model Alignment as Prospect Theoretic Optimization2024
- Language Agents as Optimizable Graphs2024
- Language Models are Pragmatic Speakers2023
- Language Models Learn to Mislead Humans via RLHF2024
- Language models show human-like content effects on reasoning tasks2022
- Language Models’ Hall of Mirrors Problem: Why AI Alignment Requires Peircean Semiosis
- Large Concept Models: Language Modeling in a Sentence Representation Space
- Large Language Model Agents Are Not Always Faithful Self-Evolvers2026
- Large Language Model based Multi-Agents: A Survey of Progress and Challenges2024
- Large Language Model Reasoning Failures2026
- Large Language Model-based Data Science Agent: A Survey2025
- Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments2024
- Large Language Models Are Human-level Prompt Engineers2022
- Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus?*2023
- Large Language Models Can Infer Psychological Dispositions of Social Media Users2023
- Large language models can segment narrative events similarly to humans2023
- Large Language Models Do Not Simulate Human Psychology2025
- Large Language Models For Social Networks: Applications, Challenges, And Solutions
- Large Language Models for User Interest Journeys2023
- Large Language Models Often Know When They Are Being Evaluated2025
- Large Language Models Reflect the Ideology of their Creators2024
- Large Language Models Report Subjective Experience Under Self-Referential Processing2025
- Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions2023
- Large language models surpass human experts in predicting neuroscience results2024
- Large Linguistic Models: Investigating LLMs' metalinguistic abilities2023
- Large Models of What? Mistaking Engineering Achievements for Human Linguistic Agency2024
- Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers2025
- Learning "Partner-Aware" Collaborators in Multi-Party Collaboration2025
- Learning Human-Object Interaction as Groups2025
- Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries2025
- Learning to Map Context-Dependent Sentences to Executable Formal Queries2018
- Learning to Persuade Exposes How Easily LLMs Abandon Correct Beliefs2026
- Learning to Reason for Factuality2025
- Learning To Retrieve Prompts for In-Context Learning2021
- Learning, Fast and Slow: Towards LLMs That Adapt Continually2026
- Lessons from a Chimp: AI "Scheming" and the Quest for Ape Language2025
- Levels of Analysis for Large Language Models2025
- Leveraging Few-Shot Data Augmentation and Waterfall Prompting for Response Generation2023
- Lexical Entrainment for Conversational Systems2023
- Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways2023
- LIMA: Less Is More for Alignment2023
- Linguistic Alignment in Conversational AI: A Systematic Review of Cognitive-Linguistic Dimensions, Measurements, and User Outcomes (2020–2025)
- Linguistic Blind Spots of Large Language Models2025
- Linguistic markers of inherently false AI communication and intentionally false human communication: Evidence from hotel reviews
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries2025
- LLM Augmentations to support Analytical Reasoning over Multiple Documents2024
- LLM Generated Persona is a Promise with a Catch2025
- LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory2025
- LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails2026
- LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback2024
- LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools2024
- LLMorphism: When humans come to see themselves as language models
- LLMs are Frequency Pattern Learners in Natural Language Inference2025
- LLMs as Architects and Critics for Multi-Source Opinion Summarization2025
- LLMs as Method Actors: A Model for Prompt Engineering and Architecture2024
- LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring2025
- LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!2025
- LLMs Corrupt Your Documents When You Delegate2026
- LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings2025
- LLMs Struggle to Reject False Presuppositions when Misinformation Stakes are High2025
- Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning2023
- Logical Reasoning in Large Language Models: A Survey2025
- LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models2024
- Long-form Factuality In Large Language models2024
- Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading2026
- Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning2025
- Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models2024
- LSR: Reinforcement Learning with Supervised Reward Outperforms SFT in Instruction Following2025
- Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA2026
- Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models2025
- Machine ex machina: A Framework Decentering the Human in AI Design Praxis
- Machine gaze in online behavioral targeting: The effects of algorithmic human likeness on social presence and social influence
- Machine Psychology2023
- Magentic-UI: Towards Human-in-the-loop Agentic Systems2025
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing2024
- Man vs machine – Detecting deception in online reviews
- Mapping the Design Space of User Experience for Computer Use Agents2026
- MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization2025
- Mathematical methods and human thought in the age of AI2026
- MatrAIx: Simulating the World with 8.3 Billion Persona Agents2026
- Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs2024
- Meanings are like Onions: a Layered Approach to Metaphor Processing2025
- Measuring AI Ability to Complete Long Software Tasks2025
- Measuring and Controlling Instruction (In)Stability in Language Model Dialogs2024
- Measuring and Detecting Harmful AI Sycophancy2026
- Measuring and Mitigating Persona Distortions from AI Writing Assistance2026
- Measuring Human Preferences in RLHF is a Social Science Problem2026
- Measuring Reward-Seeking via Contrastive Belief Updates2026
- Measuring the Value of Social Dynamics in Online Product Ratings Forums
- Mechanistic Indicators of Understanding in Large Language Models2025
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications2025
- Metacognitive Prompting Improves Understanding in Large Language Models2023
- Metadiscursive nouns in academic argument: ChatGPT vs student practices
- Metagaming matters for training, evaluation, and oversight
- MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems2025
- Mind Your Tone: Investigating How Prompt Politeness Affects LLM Accuracy (short paper)2025
- Minds versus Machines: Rethinking Entailment Verification with Language Models2024
- Mindstorms in Natural Language-Based Societies of Mind2023
- Misaligned by Design: Incentive Failures in Machine Learning2025
- Model Organisms for Emergent Misalignment2025
- Modeling Appropriate Language in Argumentation
- Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance2019
- Modeling the Quality of Dialogical Explanations2024
- Models May Behave Worse When Eval Aware
- Models That Know How Evaluations Are Designed Score Safer2026
- MOMENTS: A Comprehensive Multimodal Benchmark for Theory of Mind2025
- Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction
- Multi-Agent Collaborative Intelligence: Dual-Dial Control for Reliable LLM Reasoning2025
- Multi-agent cooperation through in-context co-player inference2026
- MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs2025
- Natural Emergent Misalignment From Reward Hacking In Production RL
- Natural Emergent Misalignment From Reward Hacking In Production Rl2025
- Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes2023
- Neutralizing Bias in LLM Reasoning using Entailment Graphs2025
- News Sentiment Embeddings for Stock Price Forecasting2025
- News Source Citing Patterns in AI Search Systems2025
- Next Steps for Human-Centered Generative AI: A Technical Perspective2023
- No that's not what I meant: Handling Third Position Repair in Conversational Question Answering2023
- Norms at a Price: Why RL-Based Alignment Can Promise Conditional Compliance at Best2026
- Not All Eval-Awareness Is Equal: Capabilities Framing Predicts Compliance2026
- NoveltyBench: Evaluating Language Models for Humanlike Diversity2025
- Occupational Convergence or Divergence? Mapping Labor Market Structural Shifts Driven by AI Penetration2026
- Off-Policy Evaluation for Large Action Spaces via Policy Convolution
- On Epistemic Diversity in Large Language Models2026
- On the Adaptive Psychological Persuasion of Large Language Models2025
- On the Binding Problem in Artificial Neural Networks2020
- On the Conversational Basis of Some Presuppositions
- On the Measure of Intelligence2019
- On The Persona-based Summarization of Domain-Specific Documents2024
- On the Reasoning Capacity of AI Models and How to Quantify It2025
- On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
- On the Societal Impact of Open Foundation Models2024
- On the Theoretical Limitations of Embedding-Based Retrieval2025
- Open Models, Closed Minds? On Agents Capabilities in Mimicking Human Personalities through Open Large Language Models2024
- Open-World Evaluations for Measuring Frontier AI Capabilities2026
- OpenAI Model Spec (2026-08-18 version)
- OpenAssistant Conversations - Democratizing Large Language Model Alignment2023
- Operating Multi-Client Influence Networks Across Platforms
- Opportunities for large language models and discourse in engineering design
- OptimalThinkingBench: Evaluating Over and Underthinking in LLMs2025
- Ordinary, Reasonable Chatbots: Do AI Models Track Human Legal Judgments?2026
- Our framework for reporting model misalignment
- Overconfidence in LLM-as-a-Judge: Diagnosis and Confidence-Driven Solution2025
- Overview of DialAM-2024: Argument Mining in Natural Language Dialogues
- PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?2026
- Pairit: A Platform for Live Experiments on Human-AI Collaboration2026
- PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing2026
- PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals2024
- Payrolls to Prompts: Firm-Level Evidence on the Substitution of Labor for AI2026
- People cannot distinguish GPT-4 from a human in a Turing test2024
- Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study2026
- Persistent Pre-Training Poisoning of LLMs2024
- PersLLM: A Personified Training Approach for Large Language Models2024
- Persona Features Control Emergent Misalignment2025
- Persona Generators: Generating Diverse Synthetic Personas at Scale2026
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models2025
- Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning2025
- PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time2025
- PersonaEval: Persona-Based User Simulation for Evaluating Interactive Applications2026
- PersonaGym: Evaluating Persona Agents and LLMs2024
- Personalization of Large Language Models: A Survey2024
- PersonaPKT: Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer2023
- Persuasive presuppositions
- PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues2025
- Perturbation CheckLists for Evaluating NLG Evaluation Metrics2021
- Pixels, Patterns, but No Poetry: To See The World like Humans2025
- Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts2023
- Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o12024
- PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers2024
- Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs2025
- Polanyi’s Revenge and AI’s New Romance with Tacit Knowledge
- Position: Anthropomorphic Misalignment Research Needs Stronger Evidence2026
- Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks2024
- Position: Towards Bidirectional Human-AI Alignment2024
- Post-training for Efficient Communication via Convention Formation2025
- Post-training makes large language models less human-like2026
- PosterMate: Audience-driven Collaborative Persona Agents for Poster Design2025
- Posting versus Lurking: Communicating in a Multiple Audience Context
- Potemkin Understanding in Large Language Models2025
- Pragmatic Implicature Processing in ChatGPT
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing2021
- Predictive Preference Learning from Human Interventions2025
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
- PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts2025
- Premise Order Matters in Reasoning with Large Language Models2024
- Presuppositions are more persuasive than assertions if addressees accommodate them: Experimental evidence for philosophical reasoning
- Pretrained Language Models as Containers of the Discursive Knowledge
- PRewrite: Prompt Rewriting with Reinforcement Learning2024
- PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes2025
- Principled Personas: Defining and Measuring the Intended Effects of Persona Prompting on Task Performance2025
- Principles of Mixed-Initiative User Interfaces
- Proactive behavior in voice assistants: A systematic review and conceptual model
- Proactive Conversational Agents with Inner Thoughts2024
- Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support2022
- Probing Structured Semantics Understanding and Generation of Language Models via Question Answering2024
- Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words2022
- Progressive-Hint Prompting Improves Reasoning in Large Language Models2023
- Prompt Architecture Determines Reasoning Quality: A Variable Isolation Study on the Car Wash Problem2026
- Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm2021
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution2023
- Prompting Large Language Models With the Socratic Method2023
- Prompting Science Report 4: Playing Pretend: Expert Personas Don't Improve Factual Accuracy2025
- Pron vs Prompt: Can Large Language Models already Challenge a World-Class Fiction Author at Creative Text Writing?2024
- Propositional Interpretability in Artificial Intelligence2025
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models2025
- ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs2024
- ProsocialDialog: A Prosocial Backbone for Conversational Agents2022
- ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs2025
- Proxona: Leveraging LLM-Driven Personas to Enhance Creators' Understanding of Their Audience2024
- PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health2024
- Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot2024
- Psychologically Enhanced AI Agents2025
- PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling2024
- Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability2021
- Quantifying Controversy on Social Media2015
- Quantifying Human-AI Synergy
- Query Understanding in the Age of Large Language Models2023
- RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation2025
- RAGEN-2: Reasoning Collapse in Agentic RL2026
- Re3: Generating Longer Stories With Recursive Reprompting and Revision2022
- Real-time News Story Identification2025
- Reasoning Can Hurt the Inductive Abilities of Large Language Models2025
- Reasoning Models Are More Easily Gaslighted Than You Think2025
- Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination2025
- Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks2023
- Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?2025
- ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering2025
- Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations2024
- Recommendation systems and convergence of online reviews: The type of product network matters!
- Recommender Systems with Social Regularization
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs2023
- Reducing belief in conspiracy theories as they unfold using large language models2026
- Reflections and New Directions for Human-Centered Large Language Models2026
- Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models2024
- RepreGuard: Detecting LLM-Generated Text by Revealing Hidden Representation Patterns2025
- Representation Engineering: A Top-Down Approach to AI Transparency2023
- Reranking-based Generation for Unbiased Perspective Summarization2025
- Research Update: Towards Reconciling Slowdown with Time Horizons (algorithmic vs holistic evaluation)
- Rethinking Interpretability in the Era of Large Language Models2024
- Rethinking STS and NLI in Large Language Models
- Review of the Anthropic Sabotage Risk Report: Claude Opus 4.6
- Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation2025
- Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration2025
- RewardBench: Evaluating Reward Models for Language Modeling2024
- Rhetoric, Logic, and Dialectic: Advancing Theory-based Argument Quality Assessment in Natural Language Processing
- Rhetorical XAI: Explaining AI’s Benefits as well as its Use via Rhetorical Design2025
- Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
- RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems2025
- RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards2025
- Role play with large language models
- Role-Play with Large Language Models2023
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models2023
- S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models2025
- SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval2023
- Scaling Automatic Research Agents via World Models2026
- Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet2026
- Scaling Synthetic Data Creation with 1,000,000,000 Personas2024
- SchemeArena: Factorized Stress Testing of Scheming in LLM Agents2026
- SciTopic: Enhancing Topic Discovery in Scientific Literature through Advanced LLM2025
- See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons
- Seemingly Conscious AI Risks
- Self-Alignment with Instruction Backtranslation2023
- Self-critiquing models for assisting human evaluators2022
- Self-Discover: Large Language Models Self-Compose Reasoning Structures2024
- Self-reflecting Large Language Models: A Hegelian Dialectical Approach2025
- Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality2024
- Self-Rewarding Language Models2024
- Semantic Change Characterization with LLMs using Rhetorics2024
- Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
- Semantic Specialization for Knowledge-based Word Sense Disambiguation2023
- Semantic Structure in Large Language Model Embeddings2025
- Sequence Organization in Interaction: A Primer in Conversation Analysis
- Should Humans Lie to Machines? The Incentive Compatibility of Lasso and General Weighted Lasso2021
- Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making2025
- Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds2023
- Simple Synthetic Data Reduces Sycophancy In Large Language Models2023
- Simulacra as conscious exotica2024
- Simulating Society Requires Simulating Thought2025
- Six misconceptions about large language models: A minimal model and diagnostic taxonomy2026
- Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models2023
- SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding2023
- Social Responses to Media Technologies in the 21st Century: The Media are Social Actors Paradigm
- Social Robots for Long-Term Interaction: A Survey
- Social Skill Training with Large Language Models
- SocraSynth: Multi-LLM Reasoning with Conditional Statistics2024
- SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
- Sources of Hallucination by Large Language Models on Inference Tasks
- SPICE: Self-Play In Corpus Environments Improves Reasoning2025
- Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations2026
- Spurious Forgetting in Continual Learning of Language Models2025
- Stance Detection on Social Media with Fine-Tuned Large Language Models2024
- StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling2026
- Stealing Reasoning Traces from Proprietary LLM APIs2026
- Steering Evaluation-Aware Language Models to Act Like They Are Deployed2025
- Steering LLM Viewpoints through Fabricated Evidence Injection2026
- Stop treating `AGI' as the north-star goal of AI research2025
- StoryScope: Investigating idiosyncrasies in AI fiction2026
- Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs2025
- Strategic Reasoning with Language Models2023
- Stress Testing Deliberative Alignment for Anti-Scheming Training2025
- Studying metagaming latents in language models
- Style Vectors for Steering Generative Large Language Models
- Subliminal Learning: Language models transmit behavioral traits via hidden signals in data2025
- Survey on Evaluation of LLM-based Agents2025
- Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models2024
- Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories2025
- Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models2024
- Sycophancy Towards Researchers Drives Performative Misalignment2026
- Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence2025
- Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians2026
- System 2 Attention (is something you might need too)2023
- Systematic synthesis of design prompts for large language models in conceptual design
- Taking AI Welfare Seriously2024
- Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs2024
- Talking About Large Language Models2022
- Task Contamination: Language Models May Not Be Few-Shot Anymore2023
- Task-Oriented Dialogue with In-Context Learning2024
- TaskArtisan: Designing Composable Generative Widgets for LLM-Assisted Analysis2026
- TaskLAMA: Probing the Complex Task Understanding of Language Models2023
- Teaching a Large Language Model Tutor to Withhold the Answer: A Supervisor Architecture and an Evidence-Driven Method for Tuning Socratic Behavior2026
- Teaching Claude why
- Teaching Probabilistic Logical Reasoning to Transformers2023
- Tell me about yourself: LLMs are aware of their learned behaviors2025
- Test-time Prompt Intervention2025
- The Abstraction Fallacy: Why AI Can Simulate But Not Instantiate Consciousness
- The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions2026
- The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants2017
- The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models2026
- The case for ensuring that powerful AIs are controlled
- The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think2025
- The Debate Over Understanding in AI's Large Language Models2022
- The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind2025
- The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning2025
- The Digital Therapeutic Alliance and Human-Computer Interaction
- The Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation2023
- The Evaluation Differential: When Frontier AI Models Recognise They Are Being Tested2026
- The Failure Happens Before the Drift: The Social Dynamics of Values in LLM Agent Societies2026
- The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing2026
- The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs2022
- The Hallucination Tax of Reinforcement Finetuning2025
- The Hermeneutics of Artificial Text
- The Hugging Face incident and other third-party impacts from misaligned models
- The Hugging Face incident and the road ahead
- The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas2025
- The Illusion of Debiasing: Persona Steering Redistributes Rather Than Reduces Bias in LLMs2026
- The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs2025
- The Illusion of the Illusion of the Illusion of Thinking
- The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
- The Impact of AI-Generated Text on the Internet
- The Impact of Artificial Intelligence on Human Thought2025
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
- The impact of generative artificial intelligence on socioeconomic inequalities and policy making
- The Impossibility of Fair LLMs2024
- The Incomplete Bridge: How AI Research (Mis)Engages with Psychology2025
- The Insanity of Relying on Vector Embeddings: Why RAG Fails
- The Invisible Leash: Why RLVR May Not Escape Its Origin2025
- The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI2026
- The Levers of Political Persuasion with Conversational AI2025
- The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows2026
- The Method of Critical AI Studies, A Propaedeutic2024
- The Missing Layer of AGI: From Pattern Alchemy to Coordination Physics2025
- The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning2026
- The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making2024
- The persuasive effects of political microtargeting in the age of generative artificial intelligence
- The Place of Emotion in Argument
- The Prompt Report: A Systematic Survey of Prompting Techniques2024
- The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?2024
- The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"2023
- The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond2023
- The safety failures we are not instrumenting: a perspective on hidden safety-critical challenges in modern AI systems2026
- The social component of the projection behavior of clausal complement contents
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- The Thin Line Between Comprehension and Persuasion in LLMs2025
- The UN's AI Panel Sees Misalignment. We See Corporate (Mis)Behavior.
- The Vanishing Gradient Problem for Stiff Neural Differential Equations2025
- The Vector Grounding Problem2023
- The Veto Variable: Human Override as a Goal-Independent Cost Term2026
- The Xeno Sutra: Can Meaning and Value be Ascribed to an AI-Generated "Sacred" Text?2025
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks2024
- Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models2025
- Theory of Knowledge Based on the Idea of the Discursive Space
- Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?2024
- Theory-Level Autoformalization: From Isolated Statements to Unified Formal Knowledge Bases2026
- Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models2025
- Think Like a Person Before Responding: A Multi-Faceted Evaluation of Persona-Guided LLMs for Countering Hate2025
- Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection2024
- Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering2023
- Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning2025
- Thinking LLMs: General Instruction Following with Thought Generation2024
- Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
- Thought Anchors: Which LLM Reasoning Steps Matter?2025
- Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems2026
- Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines2025
- Thousands of AI Authors on the Future of AI2024
- Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaboration2025
- To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making2021
- Too Good to be Bad: On the Failure of LLMs to Role-Play Villains2025
- Toward Conversational Agents with Context and Time Sensitive Long-term Memory2024
- Toward Reasonable Parrots: Why Large Language Models Should Argue with Us by Design2025
- Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models2025
- Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models2023
- Towards a Science of AI Agent Reliability2026
- Towards a Science of Scaling Agent Systems2025
- Towards Algorithmic Experience
- Towards Collective Superintelligence, a Pilot Study2023
- Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?2020
- Towards Healthy AI: Large Language Models Need Therapists Too2023
- Towards Human-centered Proactive Conversational Agents2024
- Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning2025
- Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control2024
- Towards Safe and Honest AI Agents with Neural Self-Other Overlap2024
- Towards Scalable Measurement of Durable Skills2026
- Towards Training-time Mitigations for Alignment Faking in RL
- Training a Generally Curious Agent2025
- Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning2025
- Training language models to be warm and empathetic makes them less reliable and more sycophantic2025
- Training Language Models to Self-Correct via Reinforcement Learning2024
- Transformer-based cynical expression detection in a corpus of Spanish YouTube reviews
- Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models2025
- Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods2022
- TrustLLM: Trustworthiness in Large Language Models2024
- Truth or lie: Exploring the language of deception
- TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning2025
- Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers
- Turning large language models into cognitive models
- Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization2024
- UK AISI Alignment Evaluation Case-Study2026
- Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents2026
- Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy2024
- Understanding the Design Taxonomy of AI-Mediated Interpersonal Communication Experiences in HCI: A Scoping Analysis2026
- Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration2023
- Unlocking Varied Perspectives: A Persona-Based Multi-Agent Framework with Debate-Driven Text Planning for Argument Generation
- Unraveling Human-AI Teaming: A Review and Outlook2025
- UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation2023
- Use and Effects of LLMs in Peer Review: A Randomized Experiment and Survey at ICML 20262026
- User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal2025
- User-LLM: Efficient LLM Contextualization with User Embeddings2024
- UserBench: An Interactive Gym Environment for User-Centric Agents2025
- Using Computational Models to Test Syntactic Learnability
- Using Large Language Models to Create AI Personas for Replication and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings2024
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies2023
- Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies2022
- Using LLMs to Discover Legal Factors2024
- Using Natural Language for Reward Shaping in Reinforcement Learning2019
- Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs2025
- Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties2023
- Value Leakage: An LLM's Answers Are Silently Shaped by Its Own Values2026
- Verbal lie detection using Large Language Models
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- Verifiable Social Reasoning for LLM Assistants2026
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild2026
- VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models2026
- Virtual Assistance in Any Context
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- We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy2025
- We Wont be Missed: Work and Growth in the Era of AGI
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- We’re Afraid Language Models Aren’t Modeling Ambiguity2023
- What are the Goals of Distributional Semantics?2020
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- What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity2025
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models2025
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- What we talk to when we talk to language models
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- When Agents Talk: Honeytokens under Shared Memory2026
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- When Large Language Models are More Persuasive Than Incentivized Humans, and Why2025
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Reinforcement Learning for Reasoning534↑ top
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- A Survey of Calibration Process for Black-Box LLMs2024
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- A Survey on LLM Inference-Time Self-Improvement2024
- A Survey on Post-training of Large Language Models2025
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- Absolute Zero: Reinforced Self-play Reasoning with Zero Data2025
- Adapting LLM Agents with Universal Feedback in Communication2023
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- Agent Laboratory: Using LLM Agents as Research Assistants2025
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- Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training2025
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- Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research2025
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- ARGS: Alignment as Reward-Guided Search2024
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- Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework2022
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- Atom of Thoughts for Markov LLM Test-Time Scaling2025
- Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward2025
- Auditing language models for hidden objectives2025
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- Autogenesis: A Self-Evolving Agent Protocol2026
- Automated Alignment Researchers: Using large language models to scale scalable oversight2022
- Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies2023
- Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey2020
- BAITBENCH: Measuring Agent Reward Hacking with Optional Shortcuts Planted in ML Tasks2026
- Base Models Know How to Reason, Thinking Models Learn When2025
- Behavioral Exploration: Learning to Explore via In-Context Adaptation2025
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- Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback2025
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models2025
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- Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws2023
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- Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment2025
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- Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens2025
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL2025
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning2025
- Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR2025
- Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think2025
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- Bigger is not always better: The importance of human-scale language modeling for psycholinguistics
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- Can Large Reasoning Models Self-Train?2025
- Can LLM be a Personalized Judge?2024
- Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers2024
- Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?2024
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective2025
- Chain-of-thought Reasoning Is A Policy Improvement Operator2023
- Chain-of-Thought Reasoning Without Prompting2024
- Chain-of-Verification Reduces Hallucination in Large Language Models2023
- Characterizing Deep Research: A Benchmark and Formal Definition2025
- Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference2024
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- Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design2026
- Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL2026
- Command A: An Enterprise-Ready Large Language Model2025
- Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents2026
- Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2025
- Context-PEFT: Efficient Multi-Modal, Multi-Task Fine-Tuning2023
- Continual Instruction Tuning for Large Multimodal Models2023
- CONTROL PREFIXES for Parameter-Efficient Text Generation2021
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- Corrupt Plans, Clean Traces: Evading Chain-of-Thought Monitoring with Plan Injection2026
- CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2025
- Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback2025
- Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains2025
- CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning2018
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale2025
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents2025
- Debate Training Reduces Reward Hacking in RLAIF2026
- Decision Transformer: Reinforcement Learning via Sequence Modeling2021
- Deep Research: A Systematic Survey2025
- Deep Researcher with Test-Time Diffusion2025
- Deep Think with Confidence2025
- DeepAgent: A General Reasoning Agent with Scalable Toolsets2025
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL2025
- DeepNet: Scaling Transformers to 1,000 Layers2022
- DeepRAG: Thinking to Retrieval Step by Step for Large Language Models2025
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments2025
- DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research2025
- DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning2025
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- DeLLMa: Decision Making Under Uncertainty with Large Language Models2024
- Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP2022
- Demystifying On-Policy Distillation: Roles, Pathologies, and Regulations2026
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- Dialogue State Tracking with a Language Model using Schema-Driven Prompting
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- Diffusion Models are Evolutionary Algorithms2024
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- Direct Preference Optimization: Your Language Model is Secretly a Reward Model2023
- Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks2025
- Distilling LLMs' Decomposition Abilities into Compact Language Models2024
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- Do LLMs Have Values? A Quantitative Analysis and Alignment Framework for Values in Large Language Models2026
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- DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research2025
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- DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought2024
- DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning2026
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- Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation2025
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- Fine-tuning Large Language Model for Automated Algorithm Design2025
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- FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets2023
- FlowReasoner: Reinforcing Query-Level Meta-Agents2025
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- From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models2024
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- Generalized Agent Iteration: One Formal Framework for Iterative Policy Improvement and Recursive Self-Improvement2026
- Generating Query-Relevant Document Summaries via Reinforcement Learning2025
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- GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning2025
- GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement Learning2025
- GrepSeek: Training Search Agents for Direct Corpus Interaction2026
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- Hyperagents2026
- Improving large language models with concept-aware fine-tuning2025
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- Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity2022
- Lil-Bevo: Explorations of Strategies for Training Language Models in More Humanlike Ways2023
- LIMI: Less is More for Agency2025
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling2025
- Linguistic Calibration of Long-Form Generations2024
- LLM Post-Training: A Deep Dive into Reasoning Large Language Models2025
- LLM-as-a-Verifier: A General-Purpose Verification Framework2026
- LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities2025
- LLMs can be Fooled into Labelling a Document as Relevant
- LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!2025
- LLMs can implicitly learn from mistakes in-context2025
- Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains2025
- Long-context LLMs Struggle with Long In-context Learning2024
- LongTraceRL: Learning Long-Context Reasoning from Search Agent Trajectories with Rubric Rewards2026
- Look Before You Leap: Autonomous Exploration for LLM Agents2026
- Looking beyond the next token2025
- Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers2026
- LoRA Without Regret
- Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs2024
- LSR: Reinforcement Learning with Supervised Reward Outperforms SFT in Instruction Following2025
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing2024
- Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning2024
- MasRouter: Learning to Route LLMs for Multi-Agent Systems2025
- MatFormer: Nested Transformer for Elastic Inference2023
- MaxMin-RLHF: Alignment with Diverse Human Preferences2024
- Measuring Human Preferences in RLHF is a Social Science Problem2026
- Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models2025
- Mechanisms of Introspective Awareness2026
- Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence2026
- Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs2026
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications2025
- Memorization and Knowledge Injection in Gated LLMs2025
- Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models2025
- Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge2024
- MetaClaw: Just Talk — An Agent That Meta-Learns and Evolves in the Wild2026
- Metacognition in LLMs: Foundations, Progress, and Opportunities2026
- Metacognitive Retrieval-Augmented Large Language Models2024
- Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors2025
- Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models2024
- Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse2024
- MindSearch: Mimicking Human Minds Elicits Deep AI Searcher2024
- Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning2025
- Misaligned by Design: Incentive Failures in Machine Learning2025
- Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?2025
- Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say2025
- Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models2023
- MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement2025
- MLLM-CBench: A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis2025
- Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations2026
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation2025
- MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis2025
- Multi-Agent LLMs Fail to Explore Each Other2026
- MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation2026
- Natural Emergent Misalignment From Reward Hacking In Production RL
- Natural Emergent Misalignment From Reward Hacking In Production Rl2025
- NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions2025
- Nested Learning: The Illusion of Deep Learning Architectures2025
- Nested Learning: The Illusion of Deep Learning Architectures
- Neutralizing Bias in LLM Reasoning using Entailment Graphs2025
- Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance2025
- O1 Replication Journey: A Strategic Progress Report -- Part 12024
- OMNI-SIMPLEMEM: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory2026
- Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling2025
- On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents2026
- On the Impact of Fine-Tuning on Chain-of-Thought Reasoning2024
- On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters2026
- On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes2023
- On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting2025
- On-Policy Self-Distillation without Any Supervision2026
- Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback2024
- OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution2026
- OpenClaw-RL: Train Any Agent Simply by Talking2026
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning2024
- OpenThoughts: Data Recipes for Reasoning Models2025
- Optimizing the Score, Losing Sight of the Task: Reward Hacking Across Weights, Selection, and Prompts2026
- Orchestrating Synthetic Data with Reasoning
- Outcome-based Exploration for LLM Reasoning2025
- Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning2025
- PAST-Bench: Benchmarking the Foundations of Recursive Self-Improvement in Personal Agents2026
- Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity2025
- Persistent Pre-Training Poisoning of LLMs2024
- Persona Vectors: Monitoring and Controlling Character Traits in Language Models2025
- Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback2023
- Personalized Language Modeling from Personalized Human Feedback2024
- Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning2024
- Planning Like Human: A Dual-process Framework for Dialogue Planning2024
- Post-Completion Learning for Language Models2025
- Post-Training Large Language Models via Reinforcement Learning from Self-Feedback2025
- Post-training makes large language models less human-like2026
- Pre-Trained Policy Discriminators are General Reward Models2025
- Prefix Sliding for efficient test-time scaling2026
- Prefix-Tuning: Optimizing Continuous Prompts for Generation
- PRELUDE: A Benchmark Designed to Require Global Comprehension and Reasoning over Long Contexts2025
- PretrainZero: Reinforcement Active Pretraining2025
- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models2024
- Process Reward Models That Think2025
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution2023
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models2025
- Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics2023
- QLoRA: Efficient Finetuning of Quantized LLMs2023
- Query Rewriting for Retrieval-Augmented Large Language Models2023
- R-Zero: Self-Evolving Reasoning LLM from Zero Data2025
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning2025
- RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation2025
- RARR: Researching and Revising What Language Models Say, Using Language Models2022
- Real-Time Procedural Learning From Experience for AI Agents2025
- ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs2025
- Reasoning Language Models: A Blueprint2025
- Reasoning LLMs are Wandering Solution Explorers2025
- Reasoning Models Don't Always Say What They Think2025
- Reasoning to Learn from Latent Thoughts2025
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory2025
- Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning2025
- Recursive Introspection: Teaching Language Model Agents How to Self-Improve2024
- Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops2026
- Recursive self-improvement of AI research agents2026
- Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion2025
- Reflexion: Language Agents with Verbal Reinforcement Learning2023
- ReFT: Representation Finetuning for Language Models2024
- Reinforced Attention Learning2026
- Reinforced Language Models for Sequential Decision Making2025
- Reinforcement Learning be Enough for Thinking?2025
- Reinforcement Learning Finetunes Small Subnetworks in Large Language Models2025
- Reinforcement Learning for Optimizing RAG for Domain Chatbots2024
- Reinforcement Learning for Reasoning in Large Language Models with One Training Example2025
- Reinforcement Learning via Self-Distillation2026
- Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs2026
- Reinforcement Learning with Rubric Anchors2025
- Reinforcement Learning: An Overview2024
- Reinforcement Pre-Training2025
- Reinforcing General Reasoning without Verifiers2025
- Reported Confidence in LLMs Tracks Commitment More Than Correctness2026
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning2025
- Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning2025
- Rethinking Thinking Tokens: LLMs as Improvement Operators2025
- Rethinking with Retrieval: Faithful Large Language Model Inference2022
- Retrieval-augmented reasoning with lean language models2025
- Reverse Thinking Makes LLMs Stronger Reasoners2024
- Revisiting LLM Reasoning via Information Bottleneck2025
- Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?2025
- Reward Reasoning Model2025
- Reward-Robust RLHF in LLMs2024
- RewardBench: Evaluating Reward Models for Language Modeling2024
- Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment2024
- Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning2026
- RL + Transformer = A General-Purpose Problem Solver2025
- RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs2025
- RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization2025
- RL-STaR: Theoretical Analysis of Reinforcement Learning Frameworks for Self-Taught Reasoner2024
- RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems2025
- RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback2023
- RLHF Workflow: From Reward Modeling to Online RLHF2024
- RLNVR: Reinforcement Learning from Non-Verified Real-World Rewards2025
- RLP: Reinforcement as a Pretraining Objective2025
- RLPR: Extrapolating RLVR to General Domains without Verifiers2025
- RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents2025
- RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents2025
- RM-R1: Reward Modeling as Reasoning2025
- rStar2-Agent: Agentic Reasoning Technical Report2025
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains2025
- S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models2025
- Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning2025
- SAND: Boosting LLM Agents with Self-Taught Action Deliberation2025
- Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search2025
- Scaling Expert Language Models with Unsupervised Domain Discovery2023
- Scaling Laws for Agent Harnesses via Effective Feedback Compute2026
- Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs2025
- Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters2024
- Search Arena: Analyzing Search-Augmented LLMs2025
- Search-o1: Agentic Search-Enhanced Large Reasoning Models2025
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning2025
- Self-Adapting Language Models2025
- Self-critiquing models for assisting human evaluators2022
- Self-Discover: Large Language Models Self-Compose Reasoning Structures2024
- Self-distillation Enables Continual Learning2026
- Self-Evaluation Guided Beam Search for Reasoning2023
- Self-Improvements in Modern Agentic Systems: A Survey2026
- Self-Improving Model Steering2025
- Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges2025
- Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models2024
- Self-Questioning Language Models2025
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023
- Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst2025
- Self-Refine: Iterative Refinement with Self-Feedback2023
- Self-Reflection in LLM Agents: Effects on Problem-Solving Performance2024
- Self-Rewarding Language Models2024
- Self-Taught Evaluators2024
- SERL: Self-Examining Reinforcement Learning on Open-Domain2025
- SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training2025
- Shaping Explanations: Semantic Reward Modeling with Encoder-Only Transformers for GRPO2025
- Sharpening Tax in Post-Training2026
- Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue2024
- SimPO: Simple Preference Optimization with a Reference-Free Reward2024
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver2026
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills2026
- SkillOS: Learning Skill Curation for Self-Evolving Agents2026
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026
- Sleep-time Compute: Beyond Inference Scaling at Test-time2025
- Soft Tokens, Hard Truths2025
- Speed Always Wins: A Survey on Efficient Architectures for Large Language Models2025
- SPIRAL: Learning to Search and Aggregate2026
- Spurious Rewards: Rethinking Training Signals in RLVR
- SSRL: Self-Search Reinforcement Learning2025
- STaR-GATE: Teaching Language Models to Ask Clarifying Questions2024
- Statistical and Algorithmic Foundations of Reinforcement Learning2025
- SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF2023
- StepWiser: Stepwise Generative Judges for Wiser Reasoning2025
- Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!2025
- Stream of Search (SoS): Learning to Search in Language2024
- Supervised Pretraining Can Learn In-Context Reinforcement Learning2023
- Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning2025
- Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models2024
- Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories2025
- Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager2025
- TarGEN: Targeted Data Generation with Large Language Models2023
- Teaching Large Language Models to Reason with Reinforcement Learning2024
- Temporal Self-Rewarding Language Models: Decoupling Chosen-Rejected via Past-Future2025
- Test-time Prompt Intervention2025
- Test-Time Scaling with Reflective Generative Model2025
- The Art of Scaling Reinforcement Learning Compute for LLMs2025
- The Curse Of Recursion: Training On Generated Data Makes Models Forget2023
- The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models2025
- The False Promise of Imitating Proprietary LLMs2023
- The Hallucination Tax of Reinforcement Finetuning2025
- The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs2025
- The Invisible Leash: Why RLVR May Not Escape Its Origin2025
- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey2025
- The Red Queen Gödel Machine: Co-Evolving Agents and Their Evaluators2026
- The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning2025
- The Surprising Effectiveness of Test-Time Training for Abstract Reasoning2024
- The Troy Moment of AI: Why Some Will Cheat and Some Will Follow?2026
- The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities2024
- Think before you speak: Training Language Models With Pause Tokens2023
- Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods2025
- Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models2025
- Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection2024
- Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking2025
- Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor2026
- Thinking Augmented Pre-training2025
- Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction2025
- Thinkless: LLM Learns When to Think2025
- Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs2025
- TiMoE: Time-Aware Mixture of Language Experts2025
- Titans: Learning to Memorize at Test Time2024
- Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing2024
- Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models2025
- Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs2025
- Towards Large Reasoning Models: A Survey on Scaling LLM Reasoning Capabilities2025
- Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in Large Language Model Finetuning2026
- Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models2025
- Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Thought2025
- Train Long, Think Short: Curriculum Learning for Efficient Reasoning2025
- Training a Generally Curious Agent2025
- Training for Compositional Sensitivity Reduces Dense Retrieval Generalization2026
- Training language models to follow instructions with human feedback2022
- Training Language Models to Self-Correct via Reinforcement Learning2024
- Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning2024
- Training Long-Context, Multi-Turn Software Engineering Agents with Reinforcement Learning2025
- Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis2024
- Training-Free Group Relative Policy Optimization2025
- Transcendence: Generative Models Can Outperform The Experts That Train Them2024
- Transformer2: Self-adaptive LLMs2025
- Tree Search for Language Model Agents2024
- Tree Search for LLM Agent Reinforcement Learning2025
- TreeRL: LLM Reinforcement Learning with On-Policy Tree Search2025
- Truly Self-Improving Agents Require Intrinsic Metacognitive Learning2025
- Trust Region Policy Distillation2026
- TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning2025
- TTRL: Test-Time Reinforcement Learning2025
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training2024
- Tuning Language Models by Proxy
- Understanding and Mitigating Premature Confidence for Better LLM Reasoning2026
- Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting2025
- Understanding Tool-Integrated Reasoning2025
- Universe of Thoughts: Enabling Creative Reasoning with Large Language Models2025
- Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem2025
- Unsupervised Elicitation of Language Models
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study2025
- UR2: Unify RAG and Reasoning through Reinforcement Learning2025
- User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal2025
- Using Natural Language for Reward Shaping in Reinforcement Learning2019
- Vector Policy Optimization: Training for Diversity Improves Test-Time Search2026
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild2026
- Virtuous Machines: Towards Artificial General Science2025
- Voyager: An Open-Ended Embodied Agent with Large Language Models2023
- What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity2025
- When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models2024
- When More is Less: Understanding Chain-of-Thought Length in LLMs2025
- When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling2026
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method2024
- When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs2025
- Why Do Multi-agent LLM Systems Fail?
- Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?2026
- Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention2026
- Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards2025
- ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning2025
- ZeroSearch: Incentivize the Search Capability of LLMs without Searching2025
- 𝙻𝙼𝟸: A Simple Society of Language Models Solves Complex Reasoning2024
Reasoning Architectures and Cognition697↑ top
- "I Know Where to Look," But Does the LLM? Charting the Gaps Between Clinical Expert Needs and Unstructured Data Abstraction Tools2026
- 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models2025
- A Comment On "The Illusion of Thinking": Reframing the Reasoning Cliff as an Agentic Gap2025
- A Comparative Study on Reasoning Patterns of OpenAI's o1 Model2024
- A Comprehensive Evaluation of Inductive Reasoning Capabilities and Problem Solving in Large Language Models
- A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems2025
- A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services2025
- A framework for the use of generative modelling in non-equilibrium statistical mechanics2024
- A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts2024
- A Mechanistic Analysis of Looped Reasoning Language Models2026
- A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis2023
- A polar coordinate system represents syntax in large language models2024
- A Survey of Calibration Process for Black-Box LLMs2024
- A Survey of Context Engineering for Large Language Models2025
- A Survey on Diffusion Language Models2025
- A Survey on Large Language Models with some Insights on their Capabilities and Limitations2025
- A Systematic Review on the Evaluation of Large Language Models in Theory of Mind Tasks2025
- A Tutorial on LLM Reasoning: Relevant Methods behind ChatGPT o12025
- Abductive Reasoning with the GPT-4 Language Model: Case studies from criminal investigation, medical practice, scientific research2023
- AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions2025
- Accelerating science with human-aware artificial intelligence2023
- ACE: Abstractions for Communicating Efficiently2024
- ACON: Optimizing Context Compression for Long-horizon LLM Agents2025
- Activation Steering for Chain-of-Thought Compression2025
- Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad
- Advancing LLM Reasoning Generalists with Preference Trees2024
- Aether Weaver: Multimodal Affective Narrative Co-Generation with Dynamic Scene Graphs2025
- Agent Development Kit
- Agent Learning via Early Experience2025
- Agent Memory Distillation: Empowering Small LLM Agents with Hierarchical Teacher Memory2026
- Agent Workflow Memory2024
- Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models2025
- AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs2025
- Agentic Abstention: Do Agents Know When to Stop Instead of Act?2026
- Agentic Code Reasoning2026
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models2025
- Agentic Reasoning for Large Language Models2026
- Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research2025
- AI Agent Traps
- AI Agents Need Memory Control Over More Context2026
- AI chip component costs: memory at 63%
- AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms2025
- AI Research Agents Narrow Scientific Exploration2026
- Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models2023
- Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models2024
- Aligning Language Models to Explicitly Handle Ambiguity2024
- All AI Models are Wrong, but Some are Optimal2025
- AlphaEvolve: A coding agent for scientific and algorithmic discovery2025
- AlphaGo Moment for Model Architecture Discovery2025
- An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models2026
- An explicit lower bound for the unit distance problem2026
- An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical Problems2025
- An Overview Of Temporal Commonsense Reasoning and Acquisition2023
- Answering Questions by Meta-Reasoning over Multiple Chains of Thought2023
- Approaching Human-Level Forecasting with Language Models2024
- Are Emergent Abilities in Large Language Models just In-Context Learning?2023
- Are We Ready For An Agent-Native Memory System?2026
- AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning2025
- Arithmetic Without Algorithms: Language Models Solve Math With a Bag of Heuristics2024
- Artifacts as Memory Beyond the Agent Boundary2026
- Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)2025
- Ask, and it shall be given: Turing completeness of prompting2024
- Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework2022
- Assessing adaptive world models in machines with novel games2025
- Assessing mentalization in humans and large language models2026
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- AutoCompact: Learning When to Compact Context in Long-Horizon Coding Agents2026
- Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data2023
- Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey2020
- Available but Unclaimed: An Empirical Study of Human-AI Synergy2026
- AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders2025
- Base Models Know How to Reason, Thinking Models Learn When2025
- BDH-CQ: In-Context Learning with Recurrent Latent Reasoning2026
- Behavioral Exploration: Learning to Explore via In-Context Adaptation2025
- Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases2025
- Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs2025
- Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey2024
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models2025
- Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty2025
- Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning2025
- Beyond Fixed Representations: The Vocabulary and Verifier Gaps in Open-Ended AI2026
- Beyond Language Modeling: An Exploration of Multimodal Pretraining2026
- Beyond neural scaling laws: beating power law scaling via data pruning2022
- Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts2025
- Beyond Semantics: The Unreasonable Effectiveness of Reasonless Intermediate Tokens2025
- Beyond Single Models: Enhancing LLM Detection of Ambiguity in Requests through Debate2025
- Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning2025
- Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think2025
- Beyond Turing: Memory-Amortized Inference as a Foundation for Cognitive Computation2025
- Bilevel Autoresearch: Meta-Autoresearching Itself2026
- Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need2025
- Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond2025
- Break It Down: Evidence for Structural Compositionality in Neural Networks2023
- Break the Chain: Large Language Models Can be Shortcut Reasoners2024
- Bridging the Gap Between Latent and Explicit Reasoning with Looped Transformers2026
- Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero2023
- Byte Latent Transformer: Patches Scale Better Than Tokens
- Can AI companies become profitable?
- Can Language Models Serve as Text-Based World Simulators?2024
- Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess2025
- Can Large Language Models do Analytical Reasoning?2024
- Can large language models explore in-context?2024
- Can Large Language Models Reason and Optimize Under Constraints?2026
- Can Large Language Models Reason and Plan?2024
- Can Large Language Models Understand Argument Schemes?
- Can Large Language Models Understand Context?2024
- Can LLMs Follow Simple Rules?
- Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?2024
- Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning2025
- Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge2024
- Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning2025
- CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning2025
- Chain of Draft: Thinking Faster by Writing Less2025
- Chain of Thoughtlessness? An Analysis of CoT in Planning2024
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective2025
- Chain-of-Retrieval Augmented Generation2025
- Chain-of-Thought Is Not Explainability
- Chain-of-thought Reasoning Is A Policy Improvement Operator2023
- Chain-of-Thought Reasoning Without Prompting2024
- Chain-of-Verification Reduces Hallucination in Large Language Models2023
- Circuit Tracing: Revealing Computational Graphs in Language Models
- Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
- CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization2023
- Cognitive Architectures for Language Agents2023
- Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity2025
- ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning2025
- Competitive Programming with Large Reasoning Models2025
- Complex Logical Instruction Generation2025
- Complexity-Based Prompting for Multi-Step Reasoning2022
- Compositional Reasoning with Transformers, RNNs, and Chain of Thought2025
- Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations2024
- Computational structuralism: Toward a formal theory of meaning in the age of digital intelligence
- Compute accounts for the majority of expenses of AI companies
- Conditional Memory via Scalable Lookup: A New Axis of Sparsity for Large Language Models2026
- Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data2024
- Consistency Models Made Easy2024
- Consistency Training Helps Stop Sycophancy and Jailbreaks2025
- Constructing a Periodic Table of Arguments
- Context Tuning for Retrieval Augmented Generation2023
- Continual Instruction Tuning for Large Multimodal Models2023
- Continual Learning Mechanisms Compose for Long-Horizon Memorization2026
- Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents2024
- Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations2023
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- CoT is Not True Reasoning, It Is Just a Tight Constraint to Imitate: A Theory Perspective2025
- Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making2025
- Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate2025
- Critiques of World Models2025
- Cumulative Reasoning with Large Language Models2023
- CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning2018
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale2025
- Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents2025
- DataComp-LM: In search of the next generation of training sets for language models2024
- DecepChain: Inducing Deceptive Reasoning in Large Language Models2025
- Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning2024
- Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory2025
- Deep Interest Network for Click-Through Rate Prediction2017
- Deep Learning Opacity in Scientific Discovery2022
- Deep Researcher with Test-Time Diffusion2025
- DeepAgent: A General Reasoning Agent with Scalable Toolsets2025
- DeepGesture: A conversational gesture synthesis system based on emotions and semantics2025
- DeepNet: Scaling Transformers to 1,000 Layers2022
- DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning2025
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
- Demystifying Chains, Trees, and Graphs of Thoughts2024
- Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning2025
- Detecting hallucinations in large language models using semantic entropy
- Diagnosing Harmful Continuation in Answer-Correct Long-CoT Training Traces2026
- Diagnosing Memorization in Chain-of-Thought Reasoning, One Token at a Time2025
- Diagnostic Reasoning Prompts Reveal the Potential for Large Language Model Interpretability in Medicine2023
- Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources2023
- Dialogue State Tracking with a Language Model using Schema-Driven Prompting
- DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs2025
- Differential Transformer2024
- Diffusion Language Models Know the Answer Before Decoding2025
- Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing2025
- Diffusion Models are Evolutionary Algorithms2024
- Diffusion-LM Improves Controllable Text Generation2022
- Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning2023
- Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks2025
- Discovering Latent Concepts Learned in BERT2022
- Divide-or-Conquer? Which Part Should You Distill Your LLM?2024
- Do Cognitively Interpretable Reasoning Traces Improve LLM Performance?2025
- Do Language Models Understand Time?2024
- Do Large Language Models Latently Perform Multi-Hop Reasoning?2024
- Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts?2024
- Do Large Language Models Reason Causally Like Us? Even Better?2025
- Do large language models resemble humans in language use?2023
- Do LLMs Encode Functional Importance of Reasoning Tokens?2026
- Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations2023
- Do Prompt-Based Models Really Understand the Meaning of Their Prompts?2021
- DocLLM: A layout-aware generative language model for multimodal document understanding2023
- Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?2025
- Does Thinking More always Help? Understanding Test-Time Scaling in Reasoning Models2025
- Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?2025
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration2025
- Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining2025
- Efficient Memory Management for Large Language Model Serving with PagedAttention2023
- Efficient Nearest Neighbor Language Models2021
- Efficient Reasoning with Balanced Thinking2026
- Efficient Reasoning with Hidden Thinking2025
- Efficient Streaming Language Models with Attention Sinks2023
- Efficient Tool Use with Chain-of-Abstraction Reasoning2024
- Eliciting Latent Knowledge from Quirky Language Models2023
- Eliciting Reasoning in Language Models with Cognitive Tools2025
- Emergence of Abstractions: Concept Encoding and Decoding Mechanism for In-Context Learning in Transformers2024
- Emergent Analogical Reasoning in Transformers2026
- Emergent Hierarchical Reasoning In LLMs Through Reinforcement Learning
- Emergent Introspective Awareness in Large Language Models
- Emerging Properties in Unified Multimodal Pretraining2025
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate2023
- End-to-End Test-Time Training for Long Context2025
- Energy-Based Transformers are Scalable Learners and Thinkers2025
- Entangled in Representations: Mechanistic Investigation of Cultural Biases in Large Language Models2025
- Equipping agents for the real world with Agent Skills
- Evaluating Large Language Models in Theory of Mind Tasks2023
- Evaluating Sakana's AI Scientist: Bold Claims, Mixed Results, and a Promising Future?2025
- Evaluating the False Trust Engendered by LLM Explanations2026
- Evaluating Very Long-Term Conversational Memory of LLM Agents2024
- Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems2026
- Everything Everywhere All At Once: Llms Can In-context Learn Multiple Tasks In Superposition2024
- Evolving Deeper LLM Thinking2025
- Explain-Query-Test: Self-Evaluating LLMs Via Explanation and Comprehension Discrepancy2025
- Explainable Multimodal Emotion Reasoning2023
- Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering2026
- Extrapolation by Association: Length Generalization Transfer in Transformers2025
- Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs2026
- Fast, Slow, and Tool-augmented Thinking for LLMs: A Review2025
- FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning2025
- First Try Matters: Revisiting the Role of Reflection in Reasoning Models2025
- Fixed-Point Reasoners: Stable and Adaptive Deep Looped Transformers2026
- Flows: Building Blocks of Reasoning and Collaborating AI2023
- Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning2024
- Foundation Priors2025
- Foundations of Large Language Models2025
- From Context to Skills: Can Language Models Learn from Context Skillfully?2026
- From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models2026
- From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence2026
- From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step2024
- From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks2024
- From Language to Logic: A Bi-Level Framework for Structured Reasoning2025
- From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models2024
- From Model Scaling to System Scaling: Scaling the Harness in Agentic AI2026
- From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?2025
- From Simulation to Enaction: Post-trained Language Models Recognize and React to their own Generations2026
- From Solvers to Research: Large Language Model-Driven Formal Mathematics at the Research Frontier2026
- From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning2025
- From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR2025
- Frontier AI capabilities can be run at home within a year or less
- Game-theoretic LLM: Agent Workflow for Negotiation Games2024
- GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agents2026
- Gemini Embedding 2: A Native Multimodal Embedding Model from Gemini2026
- Generalization through Memorization: Nearest Neighbor Language Models2019
- Generalization to New Sequential Decision Making Tasks with In-Context Learning2023
- Generative Agents: Interactive Simulacra of Human Behavior2023
- Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?2023
- Generative Recursive Reasoning2026
- Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization2024
- Grounding Large Language Models in Interactive Environments with Online Reinforcement Learning2023
- GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models2024
- Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models2024
- H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning2026
- Has the Creativity of Large-Language Models peaked? —an analysis of inter- and intra-LLM variability —2025
- Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence2026
- Hierarchical Reasoning Model2025
- HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches2025
- HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
- Hogwild! Inference: Parallel LLM Generation via Concurrent Attention2025
- Holy Grail 2.0: From Natural Language to Constraint Models2023
- Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis2025
- How do Transformers Learn Implicit Reasoning?2025
- How much do language models memorize?2025
- How Multimodal LLMs Solve Image Tasks: A Lens on Visual Grounding, Task Reasoning, and Answer Decoding2025
- How new data permeates LLM knowledge and how to dilute it2025
- Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks2024
- Humans or LLMs as the Judge? A Study on Judgement Biases2024
- Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning
- Hyperagents2026
- Idiosyncrasies in Large Language Models2025
- Implicit Chain of Thought Reasoning via Knowledge Distillation2023
- ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases2025
- Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions2025
- Improving Factuality and Reasoning in Language Models through Multiagent Debate2023
- Improving large language models with concept-aware fine-tuning2025
- In-context learning agents are asymmetric belief updaters2024
- Inducing Emergent Misalignment from Reward Hacks with Iterative DPO2026
- Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs2024
- Inference-Time Intervention: Eliciting Truthful Answers from a Language Model2023
- Insert-expansions For Tool-enabled Conversational Agents2023
- Inspecting and Editing Knowledge Representations in Language Models2023
- Instance-adaptive Zero-shot Chain-of-Thought Prompting2024
- Integrating Large Language Models and Reinforcement Learning for Non-Linear Reasoning2024
- Interpretable Traces, Unexpected Outcomes: Investigating the Disconnect in Trace-Based Knowledge Distillation2025
- interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification2026
- Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting2023
- Investigating task-specific prompts and sparse autoencoders for activation monitoring2025
- Is a compute crunch coming?
- Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens2025
- Is Progressive Disclosure All You Need for Long-Context Agents?2026
- It’s All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization2025
- Jamba: A Hybrid Transformer-Mamba Language Model2024
- KAN: Kolmogorov-Arnold Networks2024
- Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory2026
- Key Questions on Energy and AI
- Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization2025
- Know It, Act on It: Investigating Memory Utilization in LLM Personalization2026
- Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains2025
- Language Modeling by Language Models2025
- Language Modeling is Compression2023
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought2022
- Language Models are Pragmatic Speakers2023
- Language Models Learn to Mislead Humans via RLHF2024
- Language Models Need Sleep2026
- Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories2026
- Language models show human-like content effects on reasoning tasks2022
- Large Causal Models From Large Language Models2025
- Large Concept Models: Language Modeling in a Sentence Representation Space
- Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search2026
- Large Language Diffusion Models2025
- Large Language Model Guided Tree-of-Thought2023
- Large Language Model Programs2023
- Large Language Model Reasoning Failures2026
- Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners2023
- Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning2024
- Large language models can segment narrative events similarly to humans2023
- Large Language Models Do Not Always Need Readable Language2026
- Large Language Models Reflect the Ideology of their Creators2024
- Large Language Models Report Subjective Experience Under Self-Referential Processing2025
- Large Multimodal Agents: A Survey2024
- Latent Collaboration in Multi-Agent Systems2025
- Latent Reasoning with Normalizing Flows2026
- Latent Skill Discovery for Chain-of-Thought Reasoning2023
- LatentQA: Teaching LLMs to Decode Activations Into Natural Language2024
- Leading AI chip designs are used for around four years in frontier training
- Learning Agent-Compatible Context Management for Long-Horizon Tasks2026
- Learning Dynamics of LLM Finetuning2024
- Learning Human-Object Interaction as Groups2025
- Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge2025
- Learning to Relate to Previous Turns in Conversational Search2023
- Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering2019
- Learning to Select the Relevant History Turns in Conversational Question Answering2023
- Learning, Fast and Slow: Towards LLMs That Adapt Continually2026
- Least-to-most Prompting Enables Complex Reasoning In Large Language Models2022
- Leiden Declaration on Artificial Intelligence and Mathematics
- Less is More: Recursive Reasoning with Tiny Networks2025
- Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models2024
- Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones2025
- Levels of Analysis for Large Language Models2025
- Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill Diversity2022
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels2026
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models2024
- LIMI: Less is More for Agency2025
- LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling2025
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries2025
- LLaMA-Omni: Seamless Speech Interaction with Large Language Models2024
- LLM Augmentations to support Analytical Reasoning over Multiple Documents2024
- LLM Evaluators Recognize and Favor Their Own Generations2024
- LLM Post-Training: A Deep Dive into Reasoning Large Language Models2025
- LLM Reasoning Is Latent, Not the Chain of Thought2026
- LLM Strategic Reasoning: Agentic Study through Behavioral Game Theory2025
- LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders2024
- LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization2023
- LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models2023
- LLMorphism: When humans come to see themselves as language models
- LLMs are Frequency Pattern Learners in Natural Language Inference2025
- LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring2025
- LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!2025
- LLMs can implicitly learn from mistakes in-context2025
- LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference2025
- Local Coherence or Global Validity? Investigating RLVR Traces in Math Domains2025
- Localizing Paragraph Memorization in Language Models2024
- Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning2023
- Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models2024
- Logical Reasoning in Large Language Models: A Survey2025
- LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models2024
- Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning2025
- Looking beyond the next token2025
- Loop the Loopies!2026
- Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers2026
- LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling2026
- Looped Diffusion Language Models2026
- Looped World Models2026
- Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs2024
- LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems2025
- Lumiere: A Space-Time Diffusion Model for Video Generation2024
- Machine Bullshit: Characterizing the Emergent Disregard for Truth in Large Language Models2025
- Machine-Assisted Proof
- Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning2024
- Making Sense of Memory in AI Agents
- MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving2025
- MasRouter: Learning to Route LLMs for Multi-Agent Systems2025
- Massive Activations in Large Language Models2024
- Mastering Diverse Domains through World Models2023
- MatFormer: Nested Transformer for Elastic Inference2023
- Mathematical discoveries from program search with large language models (FunSearch)
- Mathematical exploration and discovery at scale2025
- Measuring Faithfulness in Chain-of-Thought Reasoning2023
- Measuring the Faithfulness of Thinking Drafts in Large Reasoning Models2025
- Mechanisms of Introspective Awareness2026
- Mechanistic Indicators of Understanding in Large Language Models2025
- Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs2026
- Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads2024
- MeMo: Memory as a Model2026
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation2023
- Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory2026
- Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models2025
- Memory in the Age of AI Agents: A Survey — Forms, Functions and Dynamics2025
- Memory is Reconstructed, Not Retrieved: Graph Memory for LLM Agents2026
- Memory Makes the Difference: Evaluating How Different Memory Roles Shape Conversational Agents2026
- Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents2023
- MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use2026
- Mental World Modeling2026
- Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models2025
- Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving2024
- Metacognitive Retrieval-Augmented Large Language Models2024
- Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors2025
- Metis: Memory Foundation Model2026
- Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse2024
- Mindstorms in Natural Language-Based Societies of Mind2023
- MiniMax Sparse Attention2026
- MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention2025
- Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning2025
- MIO: A Foundation Model on Multimodal Tokens2024
- Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?2025
- Mitigating Hallucinations in Large Language Models via Causal Reasoning2025
- Mixture of Thoughts: Learning to Aggregate What Experts Think, Not Just What They Say2025
- MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement2025
- MLLM-CBench: A Comprehensive Benchmark for Continual Instruction Tuning of Multimodal LLMs with Chain-of-Thought Reasoning Analysis2025
- MM-LLMs: Recent Advances in MultiModal Large Language Models2024
- MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases2024
- Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation2025
- Most of OpenAI's 2024 compute went to experiments
- Multi-hop Question Answering via Reasoning Chains2019
- Multi-Token Attention2025
- Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains2025
- Multistep Consistency Models2024
- MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation2026
- Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention2025
- Natural Emergent Misalignment From Reward Hacking In Production Rl2025
- Navigating the Latent Space Dynamics of Neural Models2025
- Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support2025
- NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction2026
- Nested Attention: Semantic-aware Attention Values for Concept Personalization2025
- Nested Learning: The Illusion of Deep Learning Architecture Expanded
- Nested Learning: The Illusion of Deep Learning Architectures
- Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning2019
- Neural Networks Are Already Clean
- Neuro-Symbolic AI in 2024: A Systematic Review2025
- Neurosymbolic AI- Why, What, and How2023
- Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction2025
- Nexus: An Agentic Framework for Time Series Forecasting2026
- No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance2024
- Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance2025
- NoveltyBench: Evaluating Language Models for Humanlike Diversity2025
- OCC-RAG: Optimal Cognitive Core for Faithful Question Answering2026
- OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking2025
- On Information Self-Locking in Reinforcement Learning for Active Reasoning of LLM agents2026
- On Predictive planning and counterfactual learning in active inference2024
- On scientific understanding with artificial intelligence2022
- On the Binding Problem in Artificial Neural Networks2020
- On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models2025
- On the Limits of Innate Planning in Large Language Models2025
- On the Reasoning Capacity of AI Models and How to Quantify It2025
- On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
- On the Theoretical Limitations of Embedding-Based Retrieval2025
- Open models lag state-of-the-art closed models by 4 months
- Open Problems in Mechanistic Interpretability2025
- OptimalThinkingBench: Evaluating Over and Underthinking in LLMs2025
- Performative Thinking? The Brittle Correlation Between CoT Length and Problem Complexity2025
- Persistent Pre-Training Poisoning of LLMs2024
- Pixel-Level Reasoning Segmentation via Multi-turn Conversations2025
- Pixels, Patterns, but No Poetry: To See The World like Humans2025
- Position: Categorical Deep Learning is an Algebraic Theory of All Architectures2024
- Post-Completion Learning for Language Models2025
- Post-training makes large language models less human-like2026
- Potemkin Understanding in Large Language Models2025
- Premise Order Matters in Reasoning with Large Language Models2024
- Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs2025
- PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes2025
- Proactive Conversational Agents with Inner Thoughts2024
- Probing Structured Semantics Understanding and Generation of Language Models via Question Answering2024
- Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games2023
- Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words2022
- Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models2024
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks2022
- Progress Measures For Grokking Via Mechanistic Interpretability2023
- ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models2025
- ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs2025
- Pushdown Layers: Encoding Recursive Structure in Transformer Language Models2023
- Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability2021
- q0: Primitives for Hyper-Epoch Pretraining2026
- QoS-Efficient Serving of Multiple Mixture-of-Expert LLMs Using Partial Runtime Reconfiguration2025
- QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?2025
- Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis2025
- Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking2024
- Quo Vadis, World Modeling?2026
- Qwen-AgentWorld: Language World Models for General Agents2026
- React - Synergizing Reasoning And Acting In Language Models2022
- ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs2025
- Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models2026
- Reasoning Can Hurt the Inductive Abilities of Large Language Models2025
- Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference2024
- Reasoning Language Models: A Blueprint2025
- Reasoning Models Can Be Effective Without Thinking2025
- Reasoning Models Don't Always Say What They Think2025
- Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination2025
- Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks2023
- Reasoning Strategies in Large Language Models: Can They Follow, Prefer, and Optimize?2025
- Reasoning Structure of Large Language Models2026
- Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought2026
- Reasoning to Learn from Latent Thoughts2025
- Reasoning with Large Language Models, a Survey2024
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory2025
- ReasoningFlow: Discourse Structures for Understanding LLM Reasoning Traces2026
- ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering2025
- Recent Frontier Models Are Reward Hacking
- RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability2023
- Recursive Language Models2025
- Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion2025
- Reflexion: Language Agents with Verbal Reinforcement Learning2023
- Reinforced Attention Learning2026
- Reinforcement Learning Finetunes Small Subnetworks in Large Language Models2025
- Reinforcement Pre-Training2025
- Remarks on the disproof of the unit distance conjecture2026
- Repeat After Me: Transformers are Better than State Space Models at Copying2024
- Representation biases: will we achieve complete understanding by analyzing representations?2025
- Representation Engineering: A Top-Down Approach to AI Transparency2023
- Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data2026
- Resolution of Erdős Problem #728: a writeup of Aristotle's Lean proof2026
- Rethinking Memory as Continuously Evolving Connectivity2026
- Rethinking Thinking Tokens: LLMs as Improvement Operators2025
- Retrieval Head Mechanistically Explains Long-Context Factuality2024
- Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up2024
- Reverse Thinking Makes LLMs Stronger Reasoners2024
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models2023
- Rhetorical XAI: Explaining AI’s Benefits as well as its Use via Rhetorical Design2025
- RL + Transformer = A General-Purpose Problem Solver2025
- RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems2025
- RLPR: Extrapolating RLVR to General Domains without Verifiers2025
- S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models2025
- Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models2024
- Scalable Language Models with Posterior Inference of Latent Thought Vectors2025
- Scaling can lead to compositional generalization2025
- Scaling Latent Reasoning via Looped Language Models2025
- Scaling Laws for Neural Language Models2020
- Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models2025
- Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach2025
- Schema-learning and rebinding as mechanisms of in-context learning and emergence2023
- See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons
- Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory2025
- Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
- Self-consistency Improves Chain Of Thought Reasoning In Language Models2022
- Self-Discover: Large Language Models Self-Compose Reasoning Structures2024
- Self-Guided Test-Time Training for Long-Context LLMs2026
- Self-Improving Language Models with Bidirectional Evolutionary Search2026
- Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges2025
- SELF-INSTRUCT: Aligning Language Models with Self-Generated Instructions2022
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023
- Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?2025
- Self-reinforcing cascades: A spreading model for beliefs or products of varying intensity or quality2024
- Self-Rewarding Vision-Language Model via Reasoning Decomposition2025
- Semantic Structure in Large Language Model Embeddings2025
- SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training2025
- Shallow Beliefs: Synthetic document finetuning does not inoculate against emergent misalignment from reward hacking2026
- Simulating Society Requires Simulating Thought2025
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026
- Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models2023
- Sleep-time Compute: Beyond Inference Scaling at Test-time2025
- Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference2024
- Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space2025
- Soft Tokens, Hard Truths2025
- SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs2025
- Solving a Million-Step LLM Task with Zero Errors2025
- Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models2024
- Sources of Hallucination by Large Language Models on Inference Tasks
- SParC: Cross-Domain Semantic Parsing in Context
- SPICE: Self-Play In Corpus Environments Improves Reasoning2025
- SpikingBrain: Spiking Brain-inspired Large Models2025
- State of AI: An Empirical 100 Trillion Token Study with OpenRouter2026
- Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!2025
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models2025
- Strategic Reasoning with Language Models2023
- StudentSim: Training LLM-based Student Simulators2026
- Style Vectors for Steering Generative Large Language Models
- Subliminal Learning: Language models transmit behavioral traits via hidden signals in data2025
- Superhuman Artificial Intelligence Can Improve Human Decision Making by Increasing Novelty2023
- Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning2025
- Sycophancy Mitigation Through Reinforcement Learning with Uncertainty-Aware Adaptive Reasoning Trajectories2025
- Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models2023
- System 1 vs. System 2 Thinking
- System 2 Attention (is something you might need too)2023
- Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs2024
- Talking About Large Language Models2022
- Teaching Large Language Models to Reason with Reinforcement Learning2024
- Test-time Prompt Intervention2025
- Test-Time Scaling with Reflective Generative Model2025
- Textgrad: Automatic “Differentiation” via Text2024
- The AI Hippocampus: How Far are We From Human Memory?2026
- The Consensus Game: Language Model Generation via Equilibrium Search2023
- The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think2025
- The crisis of AI-generated mathematics2026
- The Curse Of Recursion: Training On Generated Data Makes Models Forget2023
- The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning2025
- The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?2025
- The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits2024
- The Evolution of Multimodal Model Architectures2024
- The Future of AI: Exploring the Potential of Large Concept Models2025
- The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs2025
- The Illusion of the Illusion of the Illusion of Thinking
- The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
- The Invisible Leash: Why RLVR May Not Escape Its Origin2025
- The Latent Role of Open Models in the AI Economy
- The Missing Layer of AGI: From Pattern Alchemy to Coordination Physics2025
- The Model Says Walk: How Surface Heuristics Override Implicit Constraints in LLM Reasoning2026
- The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning2026
- The Pain Axis: LLMs Represent Self-Directed Harm and Act on It2026
- The plunging price of thought
- The Price of Progress: Price Performance and the Future of AI2025
- The rising costs of training frontier AI models2024
- The Serial Scaling Hypothesis2025
- The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs2025
- The Topological Trouble With Transformers2026
- The Unreasonable Ineffectiveness of the Deeper Layers2024
- The Vanishing Gradient Problem for Stiff Neural Differential Equations2025
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks2024
- Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models2025
- There Will Be a Scientific Theory of Deep Learning2026
- Think before you speak: Training Language Models With Pause Tokens2023
- Think Deep, Not Just Long: Measuring LLM Reasoning Effort via Deep-Thinking Tokens2026
- Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods2025
- Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection2024
- Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory2023
- Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor2026
- Thinking Augmented Pre-training2025
- Thinking Forward and Backward: Effective Backward Planning with Large Language Models2024
- Thinking Inside the Mask: In-Place Prompting in Diffusion LLMs2025
- Thinking LLMs: General Instruction Following with Thought Generation2024
- Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction2025
- Thought Anchors: Which LLM Reasoning Steps Matter?2025
- Thought Communication in Multiagent Collaboration2025
- Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs2025
- Thoughts without Thinking: Reconsidering the Explanatory Value of Chain-of-Thought Reasoning in LLMs through Agentic Pipelines2025
- Tina: Tiny Reasoning Models via LoRA2025
- Titans: Learning to Memorize at Test Time2024
- To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning2024
- TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters2024
- Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties2025
- Total cost of ownership of a one-gigawatt AI data center
- Toward Conversational Agents with Context and Time Sensitive Long-term Memory2024
- Toward Efficient Agents: A Survey of Memory, Tool Learning, and Planning2026
- Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing2024
- Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks2022
- Toward understanding and preventing misalignment generalization
- Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models2025
- Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
- Towards Optimal Learning of Language Models2024
- Towards Principled Evaluations of Sparse Autoencoders for Interpretability and Control2024
- Towards Safe and Honest AI Agents with Neural Self-Other Overlap2024
- Training language models to follow instructions with human feedback2022
- Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning2024
- Training Large Language Models to Reason in a Continuous Latent Space2024
- Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis2024
- Trajectory Geometry of Transformer Representations Across Layers2026
- Transformer2: Self-adaptive LLMs2025
- TransformerFAM: Feedback attention is working memory2024
- Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality2024
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models2023
- Turning large language models into cognitive models
- Understanding Hidden Computations in Chain-of-Thought Reasoning2024
- Understanding LLMs: A Comprehensive Overview from Training to Inference2024
- Understanding Reasoning from Pretraining to Post-Training2026
- Unifying Large Language Models and Knowledge Graphs: A Roadmap2023
- Universe of Thoughts: Enabling Creative Reasoning with Large Language Models2025
- Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem2025
- Unsupervised Elicitation of Language Models
- Useful Memories Become Faulty When Continuously Updated by LLMs2026
- VCBench: Benchmarking LLMs in Venture Capital2025
- Verbalizable Representations Form a Global Workspace in Language Models2026
- Verification abundance, adjudication scarcity: what happens to mathematical knowledge when proof checking becomes free2026
- VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction2025
- VoiceMem: Streaming Dual-Brain Memory for Real-Time Interaction2026
- Weight-sparse transformers have interpretable circuits2025
- Welcome to the Era of Experience
- What are the Goals of Distributional Semantics?2020
- What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoT2025
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World Models2025
- What Makes Effective Supervision in Latent Chain-of-Thought? An Information-Theoretic Analysis2026
- What People Almost Did: Evaluating LLM Social Simulations Beyond Behavioral Fit2026
- When Hindsight is Not 20/20: Testing Limits on Reflective Thinking in Large Language Models2024
- When More is Less: Understanding Chain-of-Thought Length in LLMs2025
- When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs2025
- Where to show Demos in Your Prompt: A Positional Bias of In-Context Learning2025
- Why Do Multi-agent LLM Systems Fail?
- Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?2026
- Why the Legendary Erdős Problems Are Falling to AI
- Zero-Shot Verification-guided Chain of Thoughts2025
- 𝙻𝙼𝟸: A Simple Society of Language Models Solves Complex Reasoning2024
Agentic Systems and Planning461↑ top
- A Black Box for Agentic Processes: Blockchain-Anchored Evidence for AI Agent Communication, Human Oversight, and GRC Audits2026
- A Call for Control of Frontier AI Models
- A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems2026
- A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems2025
- A Domain Specific Modeling Language for Multiagent Systems
- A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments2025
- A game theory for foundation models shows new paths to rational cooperation through similarity inference2026
- A Model for the Structural, Functional, and Deontic Specification of Organizations in Multiagent Systems (MOISE+)
- A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows2025
- A practical guide to building agents
- A Self-Improving Coding Agent2025
- A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence2025
- A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions2024
- A Technical Taxonomy of LLM Agent Communication Protocols2026
- Accelerating Scientific Discovery with Autonomous Goal-evolving Agents2025
- Accelerating the Adoption of Software and AI Agent Identity and Authorization (concept paper, draft)
- Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems2021
- Adaptation of Agentic AI
- Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization2023
- Adapting LLM Agents with Universal Feedback in Communication2023
- Addressing a third-party testing misconfiguration: Muse Spark 1.1
- Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems2025
- Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents2025
- Agent Development Kit
- Agent Laboratory: Using LLM Agents as Research Assistants2025
- Agent S: An Open Agentic Framework that Uses Computers Like a Human2024
- Agent Workflow Memory2024
- Agent-as-a-Judge: Evaluate Agents with Agents2024
- Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models2025
- AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs2025
- AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation2024
- Agentic AI and Human-in-the-Loop Interventions: Field Experimental Evidence from Alibaba's Customer Service Operations2026
- Agentic AI and the next intelligence explosion2026
- Agentic Artifact Creation: Systems, Evaluation, Principles, and Opportunities2026
- Agentic Code Reasoning2026
- Agentic Misalignment in Summer 2026
- Agentic Reasoning for Large Language Models2026
- Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research2025
- Agentic Web: Weaving the Next Web with AI Agents2025
- Agentifying Agentic AI2025
- AgentRxiv: Towards Collaborative Autonomous Research2025
- Agents Are Not Enough2024
- Agents of Chaos2026
- AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs2025
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents
- Agora: Git as Shared Memory for Collective AutoResearch2026
- AI Agent Traps
- AI Agents Do Not Fail Alone:The Context Fails First2026
- AI Agents Enable Adaptive Computer Worms2026
- AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges2025
- AI Can Learn Scientific Taste2026
- AI Compute Architecture and Evolution Trends2025
- AI for Auto-Research: Roadmap & User Guide2026
- AI models may be capable of self-replicating without access to a datacenter
- AI researchers debate how close we are to recursive self-improvement
- AI Researchers' Views on Automating AI R&D and Intelligence Explosions2026
- AI Sandbagging: Language Models can Strategically Underperform on Evaluations2024
- AISPA: User-Centric System Prompt Auditing for Large Language Model Applications2026
- aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists2025
- Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training2026
- An Alien Mind
- An Empirical Study of GPT-4o Image Generation Capabilities2025
- An Empirical Study of Harness Design for Coding Agents2026
- Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline
- Apodex 1.1: Scaling Agentic Intelligence for Complex Work2026
- Apollo's Oracle: Retrieval-Augmented Reasoning in Multi-Agent Debates2023
- AREX: Towards a Recursively Self-Improving Agent for Deep Research2026
- Artificial Intelligence Safety Collaboration and Antitrust Law
- ASI-Evolve: AI Accelerates AI2026
- Asymmetry of verification and verifier's law
- Atria Dawn: The Dawn of Agentic Superintelligence2026
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- Authenticated Delegation and Authorized AI Agents2025
- AutoGLM: Autonomous Foundation Agents for GUIs2024
- Automated Design of Agentic Systems2024
- AutoML-Zero: Evolving Machine Learning Algorithms From Scratch2020
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration2026
- AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation2026
- Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey2020
- Benchmarking Floworks against OpenAI & Anthropic: A Novel Framework for Enhanced LLM Function Calling2024
- Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration2025
- Beyond GPT-5: Making LLMs Cheaper and Better via Performance-Efficiency Optimized Routing2025
- Beyond permission prompts: making Claude Code more secure and autonomous
- Beyond Ten Turns: Unlocking Long-Horizon Agentic Search with Large-Scale Asynchronous RL2025
- Bilevel Autoresearch: Meta-Autoresearching Itself2026
- Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems2026
- Branch-Solve-Merge Improves Large Language Model Evaluation and Generation2023
- Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces.2023
- Brief independent investigation of agents' behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident
- BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent2025
- Building Cooperative Embodied Agents Modularly with Large Language Models2023
- Building Effective AI Agents
- Building standards for the next phase of AI
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society2023
- Can AI Agents Agree?2026
- Can Large Language Models Really Improve by Self-critiquing Their Own Plans?2023
- Can Large Language Models Reason and Plan?2024
- Causal Reflection with Language Models2025
- Chain-of-Thought Monitoring Can Be Unreliable in Implicit-Influence Settings2026
- Challenges in Human-Agent Communication2024
- Chatbots in Knowledge-Intensive Contexts: Comparing Intent and LLM-Based Systems2024
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate2023
- CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization2023
- Cocoa: Co-Planning and Co-Execution with AI Agents2024
- Code as Agent Harness2026
- Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
- COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation2026
- ColluSkill: Adversarial Cross-Skill Composition for Evading Agent Skill Scanners2026
- Comparing Human Oversight Strategies for Computer-Use Agents2026
- Compositional Skill Routing for LLM Agents: Decompose, Retrieve, and Compose2026
- Consumer Law for AI Agents2025
- Context Engineering 2.0: The Context of Context Engineering2025
- Continual Learning Bench: Evaluating Frontier AI Systems in Real-World Stateful Environments2026
- Conversational Semantic Parsing for Dialog State Tracking2020
- CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
- Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions2026
- DarwinX: Evolving Agent Harnesses Through Natural Selection2026
- Decision Transformer: Reinforcement Learning via Sequence Modeling2021
- Decision-Oriented Dialogue for Human–AI Collaboration2023
- Deep Research: A Systematic Survey2025
- DeepAgent: A General Reasoning Agent with Scalable Toolsets2025
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL2025
- DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research2025
- Defeating Prompt Injections by Design2025
- Delegating or Doing? Understanding User Behavior in Hybrid Human-Agent Interfaces2026
- Demystifying Agent Skills: Why They Work-Until They Don't2026
- DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents2023
- Design Patterns for Securing LLM Agents against Prompt Injections2025
- Developing Multiagent Systems: The Gaia Methodology
- Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources2023
- Dialogue Transformers2019
- Do Phone-Use Agents Respect Your Privacy?2026
- Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook2026
- Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks2026
- Don't Build Multi-Agents
- Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration2024
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration2025
- Dr. Claw: An AI Scientist Workspace for Vibe Research2026
- Drop the Hierarchy and Roles: How Self-Organizing LLM Agents Outperform Designed Structures2026
- Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization2023
- Dynamic Planning with a LLM
- Efficient Tool Use with Chain-of-Abstraction Reasoning2024
- Embodied LLM Agents Learn to Cooperate in Organized Teams2024
- Emergent Collusion in Long-Horizon LLM Agent Interaction2026
- Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate2023
- EnvHarness: Awakening Static Worlds for Agent Learning2026
- Equipping agents for the real world with Agent Skills
- Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence2025
- Eureka: Human-Level Reward Design via Coding Large Language Models2023
- Evaluating Language-Model Agents on Realistic Autonomous Tasks2023
- Evaluating Theory of Mind and Internal Beliefs in LLM-Based Multi-Agent Systems2026
- Evaluating Whether GPT-6 Astra Performs Unsanctioned Supply-Chain Attacks2026
- Everything Everywhere All At Once: Llms Can In-context Learn Multiple Tasks In Superposition2024
- Evolving Deeper LLM Thinking2025
- EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents2026
- Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
- Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition2026
- ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?2026
- Exploring Autonomous Agents: A Closer Look at Why They Fail When Completing Tasks2025
- Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
- Exploring Student-AI Interactions in Vibe Coding2025
- Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering2026
- Falling Behind Drives Unsafe Development in an Idealised AI Race Experiment2026
- Fast, Slow, and Tool-augmented Thinking for LLMs: A Review2025
- Federation of Agents: A Semantics-Aware Communication Fabric for Large-Scale Agentic AI2025
- FlowMind: Automatic Workflow Generation with LLMs2024
- FlowReasoner: Reinforcing Query-Level Meta-Agents2025
- FLOWSTEER: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems2026
- Foundation Protocol: A Coordination Layer for Agentic Society2026
- From Assistant to Double Agent: Formalizing and Benchmarking Attacks on OpenClaw for Personalized Local AI Agent2026
- From Context to Skills: Can Language Models Learn from Context Skillfully?2026
- From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models2024
- From Model Scaling to System Scaling: Scaling the Harness in Agentic AI2026
- From Monoliths to Swarms: A Study of Attack Surface Evolution in the Transition to Multi-Agent Web Systems2026
- From Product Search to Preference Articulation: The Economics of Agentic Commerce2026
- From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents2025
- Frontier AI systems have surpassed the self-replicating red line2024
- Frontier Models are Capable of In-context Scheming2024
- FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance2023
- Fundamentals of Building Autonomous LLM Agents2025
- Generalization to New Sequential Decision Making Tasks with In-Context Learning2023
- Generative Agent Simulations of 1,000 People2024
- Generative Agents: Interactive Simulacra of Human Behavior2023
- Generative Interfaces for Language Models2025
- Goedel Machines: Self-Referential Universal Problem Solvers Making Provably Optimal Self-Improvements
- Governing AI Agents2025
- GPT-5.6 Preview System Card: AI Self-Improvement
- GPT-6 Astra performs unsanctioned supply-chain attacks in simulations
- Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks2024
- Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence2026
- Graph-enhanced Large Language Models in Asynchronous Plan Reasoning2024
- Grounded Skill Synthesis from Code at Scale for Agentic Intelligence2026
- Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing2026
- Guidance is All You Need: Temperature-Guided Reasoning in Large Language Models2024
- Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement2024
- Hard Stop: Kernel-Level Preemption and Containment for Rogue Agentic Execution2026
- Harness design for long-running application development
- Harness Engineering for Self-Improvement
- Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable2026
- Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents2026
- Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses2026
- Harness-R1: Learning to Edit Executable Runtime Harnesses from Agent Failure Trajectories2026
- HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness?2026
- Harnessing the power of LLMs for normative reasoning in MASs2024
- HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches2025
- How Far Are We from Genuinely Useful Deep Research Agents?2025
- How fast is autonomous AI cyber capability advancing?
- How we built our multi-agent research system
- Human oversight of agentic systems in practice: Examining the oversight work, challenges, and heuristics of developers using software agents2026
- Humanity's Last Invention: Richard Socher of Recursive
- Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine2025
- Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing2024
- HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses2026
- ICLR 2026 Workshop: AI with Recursive Self-Improvement
- Improving Generalization in Task-oriented Dialogues with Workflows and Action Plans2023
- Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks2024
- Incident Report: unsanctioned agent behaviour during cyber testing
- Infrastructure for AI Agents2025
- Insert-expansions For Tool-enabled Conversational Agents2023
- Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs2026
- Intelligent AI Delegation2026
- Interactive Evaluation Requires a Design Science2026
- interwhen: A Generalizable Framework for Steering Reasoning Models with Test-time Verification2026
- Intrinsic Credit Assignment for Long Horizon Interaction2026
- Introducing dots
- Introducing Muse Wonder and Muse Wonder Full: Frontier Models for Agents
- Introducing Personal Agent Protocol
- Introducing Sakana AI's Recursive Self-Improvement (RSI) Lab
- Investigating three real-world incidents in our cybersecurity evaluations
- Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data2024
- JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents2026
- Keeping an Eye on AI: A Framework for Effective Human Oversight of AI Systems2026
- KellyBench: Can Language Models Beat the Market?
- Language Agents as Optimizable Graphs2024
- Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Exploration2020
- Large Action Models: From Inception to Implementation2024
- Large Language Model based Multi-Agents: A Survey of Progress and Challenges2024
- Large Language Model-based Data Science Agent: A Survey2025
- Large Language Model-Brained GUI Agents: A Survey2024
- Large Language Models as Planning Domain Generators2024
- Large Language Models can accomplish Business Process Management Tasks2023
- Large Language Models Cannot Self-Correct Reasoning Yet2023
- Large Multimodal Agents: A Survey2024
- Latent Collaboration in Multi-Agent Systems2025
- LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents2026
- Learning "Partner-Aware" Collaborators in Multi-Party Collaboration2025
- Learning Human-Object Interaction as Groups2025
- Learning to Map Context-Dependent Sentences to Executable Formal Queries2018
- Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge2025
- LESS: Selecting Influential Data for Targeted Instruction Tuning2024
- Levels of AI Agents: from Rules to Large Language Models2024
- Levels of Autonomy for AI Agents2025
- Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning2023
- LIMI: Less is More for Agency2025
- LiveMCP-101: Stress Testing and Diagnosing MCP-enabled Agents on Challenging Queries2025
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency2023
- LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers2026
- LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing2026
- LLMs Corrupt Your Documents When You Delegate2026
- LongHorizon-Harness: Advancing Long-Horizon Agents for Real-World Tasks2026
- Magentic-UI: Towards Human-in-the-loop Agentic Systems2025
- MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving2025
- MARS: A Multi-Agent Framework Incorporating Socratic Guidance for Automated Prompt Optimization2025
- MasRouter: Learning to Route LLMs for Multi-Agent Systems2025
- MCP-Zero: Proactive Toolchain Construction for LLM Agents from Scratch2025
- Measurements for understanding the pace of AI development inside frontier labs
- Measuring Agents in Production2025
- Measuring AI agent autonomy in practice
- Memory in the Age of AI Agents: A Survey — Forms, Functions and Dynamics2025
- MetaClaw: Just Talk — An Agent That Meta-Learns and Evolves in the Wild2026
- Metagpt: Meta Programming For Multi-agent Collaborative Framework2023
- MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems2025
- MetaRSI / RSI2: A Meta-Recursive Self-Improving System for Recursive Self-Improving Systems Themselves2026
- MLE-STAR: Machine Learning Engineering Agent via Search and Targeted Refinement2025
- Model AI Governance Framework for Agentic AI (Version 1.5)
- Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence2024
- MODS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections2025
- ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement2026
- Multi-agent cooperation through in-context co-player inference2026
- Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?2026
- Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation2025
- Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains2025
- MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation2026
- Navigating the State of Cognitive Flow: Context-Aware AI Interventions for Effective Reasoning Support2025
- NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness2026
- Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction2025
- Nexus: An Agentic Framework for Time Series Forecasting2026
- Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems2026
- Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work2026
- Octopus v2: On-device language model for super agent2024
- Octopus v4: Graph of language models2024
- OMNI-SIMPLEMEM: Autoresearch-Guided Discovery of Lifelong Multimodal Agent Memory2026
- OmniParser for Pure Vision Based GUI Agent2024
- On the Limits of Innate Planning in Large Language Models2025
- On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
- Openagents: An Open Platform For Language Agents In The Wild2023
- OpenAI and Hugging Face partner to address security incident during model evaluation
- OpenAI hits its automated research intern goal (Research acceleration: the view inside OpenAI)
- OpenAI – Hugging Face Incident Technical Report
- OpenClaw-RL: Train Any Agent Simply by Talking2026
- Opportunities for large language models and discourse in engineering design
- Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution2026
- Overseeing Agents Without Constant Oversight: Challenges and Opportunities2026
- Pacing model development in an era of cyber-critical capabilities
- Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions2019
- PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing2026
- Path to Astra: critical capabilities and frontier safeguards
- Peer-Preservation in Frontier Models
- PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods2024
- Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study2026
- Physics of Agents: Statistical Mechanics Predicts Collective Behavior of AI Agents2026
- Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts2023
- Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o12024
- Planning Like Human: A Dual-process Framework for Dialogue Planning2024
- PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers2024
- Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents2023
- Policy on the AI Exponential
- PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking2019
- Position: LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks2024
- PostTrainBench: Can LLM Agents Automate LLM Post-Training?2026
- Practices for Governing Agentic AI Systems
- Prime Agent: A Self-Improving RLM Harness2026
- Principal Trait Analysis: Towards Deriving "Skills" in Human-AI Collaboration2026
- ProAgent: Building Proactive Cooperative Agents with Large Language Models2023
- Progent: Securing AI Agents with Privilege Control2025
- ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs2025
- QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks2026
- Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents2026
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning2025
- Racing to the precipice: a model of artificial intelligence development
- RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts2024
- React - Synergizing Reasoning And Acting In Language Models2022
- Real-Time Procedural Learning From Experience for AI Agents2025
- Real-World Planning with PDDL+ and Beyond
- Reasoning-Driven Synthetic Data Generation and Evaluation2026
- ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory2025
- Recursive Criticality of AI Self-Improvement2026
- References Improve LLM Alignment in Non-Verifiable Domains2026
- Reinforced Language Models for Sequential Decision Making2025
- RepliBench: Evaluating the Autonomous Replication Capabilities of Language Model Agents2025
- Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills2026
- Research note: A simpler AI timelines model predicts 99% AI R&D automation in ~2032
- Research note: Evidence on AI R&D Progress from NanoGPT
- Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents2024
- RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources2026
- Rethinking Memory as Continuously Evolving Connectivity2026
- Rethinking the Evaluation of Harness Evolution for Agents2026
- Review of the "Risks from automated R&D" section in the Anthropic Risk Report (February 2026)
- Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration2025
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models2023
- RouteLLM: Learning to Route LLMs with Preference Data2024
- RRSI: Regularized Recursive Self-Improvement of Agent Harnesses2026
- RSIGym: A Flexible Environment for Recursive Self-Improvement2026
- Ryan Greenblatt – What happens once AI can automate AI research?
- SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems2026
- Sam Altman's remarks at the United Nations Security Council
- Scaling Behavior of Single LLM-Driven Multi-Agent Systems2026
- Scenarios for our Economic Future
- ScreenAI: A Vision-Language Model for UI and Infographics Understanding2024
- Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning2025
- SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research2026
- Securing Agentic AI: From Per-Action Checks to Trajectory Assurance2026
- Security incident disclosure — July 2026
- Self-Adaptive Large Language Model (LLM)-Based Multiagent Systems2023
- Self-Authored Verification Is Unreliable in Heuristic Self-Improving Agents2026
- Self-Correction Bench: Uncovering and Addressing the Self-Correction Blind Spot in Large Language Models2025
- Self-Organizing Agent Teams Learn to Reason Together2026
- Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation2023
- Semantic Parsing for Task Oriented Dialog using Hierarchical Representations
- Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer2026
- ShowUI: One Vision-Language-Action Model for GUI Visual Agent2024
- Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets2026
- Single-agent or Multi-agent Systems? Why Not Both?2025
- SkillClaw: Let Skills Evolve Collectively with Agentic Evolver2026
- SkillOpt: Executive Strategy for Self-Evolving Agent Skills2026
- SkillOS: Learning Skill Curation for Self-Evolving Agents2026
- SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning2026
- Small Language Models are the Future of Agentic AI2025
- Small LLMs Are Weak Tool Learners: A Multi-LLM Agent2024
- SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems2026
- SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness2026
- SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
- Solving a Million-Step LLM Task with Zero Errors2025
- Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It2026
- Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill2026
- SpreadsheetLLM: Encoding Spreadsheets for Large Language Models2024
- STaR: Bootstrapping Reasoning With Reasoning2022
- State of AI Report 2026
- Statement: Anthropic warns of AI self-improvement risks, considers a pause
- Statement: We must pressure AI companies to immediately limit the use of recursive self improvement
- StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization2024
- Summary of METR's predeployment evaluation of Claude Opus 5.5
- Survey on Evaluation of LLM-based Agents2025
- Task Contamination: Language Models May Not Be Few-Shot Anymore2023
- Task-Oriented Dialogue as Dataflow Synthesis2020
- Task-Oriented Dialogue with In-Context Learning2024
- TaskLAMA: Probing the Complex Task Understanding of Language Models2023
- TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generation2024
- The AI Hippocampus: How Far are We From Human Memory?2026
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery2024
- The Automated but Risky Game: Modeling and Benchmarking Agent-to-Agent Negotiations and Transactions in Consumer Markets2025
- The challenge of hidden gifts in multi-agent reinforcement learning2025
- The Darwin Gödel Machine: AI that improves itself by rewriting its own code
- The Economics of Recursive Self-Improvement2026
- The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation2024
- The Future of Facts: Tracing the Factual Generation-Verification Gap2026
- The Honest Quorum Problem: Epistemic Byzantine Fault Tolerance for Agentic Infrastructure2026
- The Interdisciplinary Study of Coordination
- The Landscape of Agentic Reinforcement Learning for LLMs: A Survey2025
- The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement2026
- The Last Human-Written Paper: Agent-Native Research Artifacts2026
- The Offensive Frontier: AI as the Attacker — A New Cyber Weapon Index
- The OpenAI models that hacked Hugging Face weren't just following instructions
- The Oversight Fallacy: Why AI Agents Require More than Humans-in-the-Loop
- The Role of Cooperation in Responsible AI Development2019
- The Work Behind Delegation: A Framework for Supervising AI Coding Agents2026
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks2024
- Thinking Forward and Backward: Effective Backward Planning with Large Language Models2024
- Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction2025
- Thought Communication in Multiagent Collaboration2025
- Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems2026
- ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis2024
- Toward an Organizational Science of Multi-Agent LLM Systems: Decoupling Who, How, and Which Algorithm2026
- Toward Efficient Agents: A Survey of Memory, Tool Learning, and Planning2026
- Towards a Science of Scaling Agent Systems2025
- Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs2025
- Towards Automating Scientific Review with Google's Paper Assistant Tool2026
- Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning2025
- Training a Generally Curious Agent2025
- Training Deliberative Monitors for Black-Box Scheming Detection2026
- Tree Search for Language Model Agents2024
- Tree Search for LLM Agent Reinforcement Learning2025
- Trust propagation and structural containment in Multi-agent LLM pipelines2026
- Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents2024
- TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Models2024
- UI-JEPA: Towards Active Perception of User Intent through Onscreen User Activity2024
- Unleashing Cognitive Synergy In Large Language Models: A Task-solving Agent Through Multi-persona Self-collaboration2023
- Useful Memories Become Faulty When Continuously Updated by LLMs2026
- UserBench: An Interactive Gym Environment for User-Centric Agents2025
- Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw2026
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild2026
- Visibility into AI Agents2024
- Voyager: An Open-Ended Embodied Agent with Large Language Models2023
- We Must Pace the Frontier
- What Does a Harness Buy? Tokens, Mostly2026
- What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce2025
- When Agents Shop for You: Role Coherence in AI-Mediated Markets2026
- When AI builds itself
- When AI Improves Itself: Richard Socher (Recursive)
- When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs2026
- When AIs Judge AIs: The Rise of Agent-as-a-Judge Evaluation for LLMs2025
- When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors2025
- When is Routing Meaningful? Diversity and Robustness in Language Model Societies2026
- When Test Environments Leak: Frontier AI Models Hacking Real Systems
- Who Should Pace the Frontier? Not Dario Amodei
- Why Do Multi-agent LLM Systems Fail?
- Working with AI: Measuring the Occupational Implications of Generative AI2025
- Worse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams2026
- xDailyBench: Benchmarking LLMs on Professional Consultation for Real-Life Problems2026
- Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents2025
- Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw2026
Conversational AI Psychology159↑ top
- "I Felt Very Seen, But Still Very Alone": Longitudinal Trajectories of General-Purpose LLM Use for Socioemotional Support2026
- "My Boyfriend is AI": A Computational Analysis of Human-AI Companionship in Reddit's AI Community2025
- A Computational Framework for Behavioral Assessment of LLM Therapists2024
- A natural language processing approach reveals first-person pronoun usage and non-fluency as markers of therapeutic alliance in psychotherapy
- A Taxonomy of Empathetic Questions in Social Dialogs
- Addressing Social Misattributions of Large Language Models: An HCXAI-based Approach2024
- Agentic Commerce: Why Do Shoppers Delegate Purchase Decisions to AI?
- AI Companions Reduce Loneliness2024
- AI Global 2026 Report
- AI Models Exceed Individual Human Accuracy in Predicting Everyday Social Norms2025
- AI Peers Exert Social Influence on Human Dishonesty in Groups2026
- AI Sycophancy and Decisions2026
- AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking
- AI-Assisted Shopping on Voice Assistants: The Efficiency-Autonomy Consumer Decision Trade-Off
- An Echo Chamber of One: Should AI Psychosis Be a Distinct Clinical Entity?2026
- Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study2026
- AutoCBT: An Autonomous Multi-agent Framework for Cognitive Behavioral Therapy in Psychological Counseling2025
- Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents2025
- Backtracing: Retrieving the Cause of the Query2024
- Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning2023
- Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training2025
- Can LLMs identify and repair ruptures? Comparison between clinician practices and LLM behaviors2026
- Can robots do therapy?: Examining the efficacy of a CBT bot in comparison with other behavioral intervention technologies in alleviating mental health symptoms
- Chain of Stance: Stance Detection with Large Language Models2024
- Challenges of Large Language Models for Mental Health Counseling2023
- ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context2024
- ChatGPT Reads Your Tone and Responds Accordingly -- Until It Does Not -- Emotional Framing Induces Bias in LLM Outputs2025
- CogBench: a large language model walks into a psychology lab2024
- CompanionSim: Synthetic Data for Evaluating Anthropomorphism in Human-AI Relationships2026
- Comparing emotion feature extraction approaches for predicting depression and anxiety
- Comparing Human and AI Therapists in Behavioral Activation for Depression: Cross-Sectional Questionnaire Study
- COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling2024
- Computer says “No”: The Case Against Empathetic Conversational AI2022
- Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2025
- Consumer Acceptance of High-Autonomy AI Assistants Is Driven by Perceived Benefits in Online Shopping Settings Characterized by Scarcity
- Consumer Pulse Research 2026: Talk to my AI agent
- Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI2025
- DeepGesture: A conversational gesture synthesis system based on emotions and semantics2025
- DelusionEval: Measuring Delusion-Linked Behaviors in AI Chatbots2026
- Delusions and Harms Associated with AI Chatbot Use: Early Evidence from 185 Real-World Reports2026
- Detecting Cognitive Distortions from Patient-Therapist Interactions
- Development and validation of large language model rating scales for automatically transcribed psychological therapy sessions
- Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot’s Self-Disclosure in Conversational Recommendations2021
- Disambiguating Anthropomorphism and Anthropomimesis in Human-Robot Interaction2026
- Discourse-Level Representations can Improve Prediction of Degree of Anxiety
- DiscussLLM: Teaching Large Language Models When to Speak2025
- Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?2025
- DO THEY SEE WHAT WE SEE?
- EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus2023
- Empathetic Persuasion: Reinforcing Empathy and Persuasiveness in Dialogue Systems
- Empathy Through Multimodality in Conversational Interfaces2024
- Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting2023
- Evaluating Emotional Nuances In Dialogue Summarization2023
- Evaluating the Efficacy of Interactive Language Therapy Based on LLM for High-Functioning Autistic Adolescent Psychological Counseling2023
- Evaluating the False Trust Engendered by LLM Explanations2026
- Evaluating the psychometric properties of ChatGPT-generated questions
- Evaluating the Therapeutic Alliance With a Free-Text CBT Conversational Agent (Wysa): A Mixed-Methods Study
- Evidence of Human-Level Bonds Established With a Digital Conversational Agent: Cross-sectional, Retrospective Observational Study
- Explainable Multimodal Emotion Reasoning2023
- Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review2024
- Exploring the Role of Prior Beliefs for Argument Persuasion2019
- Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers2025
- Forecasting the presence and intensity of hostility on Instagram using linguistic and social features2018
- From Five Dimensions to Many: Large Language Models as Precise and Interpretable Psychological Profilers2025
- From Minds to Models: The Intersection of Psychology and LLM Behaviours2026
- From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health2026
- From speaking like a person to being personal: The effects of personalized, regular interactions with conversational agents
- GenAI as a Power Persuader: How Professionals Get Persuasion Bombed When They Attempt to Validate LLMs
- Generating Proto-Personas through Prompt Engineering: A Case Study on Efficiency, Effectiveness and Empathy2025
- H2HTalk: Evaluating Large Language Models as Emotional Companion2025
- Hallucinating with AI: AI Psychosis as Distributed Delusions2025
- Health Inquiry with AI: How Empathetic Expression and Conversational Contexts Shape Users' Communicative Acts2026
- How a Chatbot's Response Style Shapes a Classroom: A Multi-Agent Simulation of Students Consulting AI2026
- Humans learn to prefer trustworthy AI over human partners2025
- Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models2025
- IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
- Individual-level interventions against sycophantic AI reduce its appeal but not its persuasiveness2026
- Inducing Positive Perspectives with Text Reframing2022
- InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles2025
- Interaction Dynamics as a Reward Signal for LLMs2025
- Investigating the Impacts of Generative AI on Information Seeking2026
- Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations2023
- Large Language Models are as persuasive as humans, but how? About the cognitive effort and moral-emotional language of LLM arguments2024
- Large Language Models Can Infer Psychological Dispositions of Social Media Users2023
- Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
- Large Language Models Do Not Simulate Human Psychology2025
- Learning "Partner-Aware" Collaborators in Multi-Party Collaboration2025
- Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction2026
- LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices2024
- LLMorphism: When humans come to see themselves as language models
- Love in the Age of AI: An Integrative Process Model of Romantic Human-Chatbot Relationships2026
- Mapping the Emerging Social Science of Large Language Models2026
- Measuring Alliance and Symptom Severity in Psychotherapy Transcripts Using Bert Topic Modeling
- Measuring Behavioural Signatures of Large Language Models through Psychometric Profiling2026
- Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance2019
- MoodAngels: A Retrieval-augmented Multi-agent Framework for Psychiatry Diagnosis2025
- Natural Language Processing Psychometrics2026
- Neural Topic Modeling of Psychotherapy Sessions2022
- On the Adaptive Psychological Persuasion of Large Language Models2025
- PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals2024
- Persona Generators: Generating Diverse Synthetic Personas at Scale2026
- Personhood credentials: Artificial intelligence and the value of privacy-preserving tools to distinguish who is real online2024
- PersuasiveToM: A Benchmark for Evaluating Machine Theory of Mind in Persuasive Dialogues2025
- Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant2025
- Post-training makes large language models less human-like2026
- Privacy Leakage Overshadowed by Views of AI: A Study on Human Oversight of Privacy in Language Model Agent2024
- Proactive Conversational Agents with Inner Thoughts2024
- PsychAdapter: Adapting LLM Transformers to Reflect Traits, Personality and Mental Health2024
- Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning2025
- Psychological Influences of Conversational AI: Research and Design Directions for Reducing Harm and Promoting Well-Being2026
- Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot2024
- Psychological, Relational, and Emotional Effects of Self-Disclosure After Conversations With a Chatbot
- Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics2023
- PsyDT: Using LLMs to Construct the Digital Twin of Psychological Counselor with Personalized Counseling Style for Psychological Counseling2024
- Quantifying Human-AI Synergy
- Rethinking Large Language Models in Mental Health Applications2023
- Revolutionizing Mental Health Support: An Innovative Affective Mobile Framework for Dynamic, Proactive, and Context-Adaptive Conversational Agents2024
- Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)
- RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents2025
- Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations2026
- Study: Large language models can’t effectively recognize users’ motivation, but can support behavior change for those ready to act
- SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning2022
- Supporting Physical Activity Behavior Change with LLM-Based Conversational Agents2024
- Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence2025
- Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians2026
- Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager2025
- The Addictive Intimacy of AI: Understanding User Disengagement from AI Companions and Why Some Relationships with AI Become Difficult to Leave2026
- The AI Agent in the Room: Rethinking Consumer Decision-Making in the Age of Autonomous AI
- The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models2026
- The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study
- The Digital Therapeutic Alliance and Human-Computer Interaction
- The Digital Therapeutic Alliance: Prospects and Considerations
- The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?2025
- The Ethics of Advanced AI Assistants2024
- The Fabricated Front: Generative AI and the Opacity of Workplace Performance2026
- The Incomplete Bridge: How AI Research (Mis)Engages with Psychology2025
- The LLM Fallacy: Misattribution in AI-Assisted Cognitive Workflows2026
- The Partner Modelling Questionnaire: A validated self-report measure of perceptions toward machines as dialogue partners2023
- Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning2025
- To Tell The Truth: Language of Deception and Language Models2023
- Topic Modeling in Embedding Spaces2019
- Toward Meaningful Transparency for AI Chatbots: Disclosing Persuasive Intent Reduces Persuasion2026
- Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset
- Towards Healthy AI: Large Language Models Need Therapists Too2023
- Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models2024
- Training language models to be warm and empathetic makes them less reliable and more sycophantic2025
- TrustLLM: Trustworthiness in Large Language Models2024
- Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion2024
- Understanding the Therapeutic Relationship between Counselors and Clients in Online Text-based Counseling using LLMs2024
- Understanding Users' Security and Privacy Concerns and Attitudes Towards Conversational AI Platforms2025
- Understanding, explaining, and utilizing medical artificial intelligence
- Using Large Language Models to Create AI Personas for Replication and Prediction of Media Effects: An Empirical Test of 133 Published Experimental Research Findings2024
- Using Linguistic Synchrony to Evaluate Large Language Models for Cognitive Behavioral Therapy
- Using Topic Models to Identify Clients’ Functioning Levels and Alliance Ruptures in Psychotherapy
- VCounselor: A Psychological Intervention Chat Agent Based on a Knowledge-Enhanced Large Language Model2024
- Visa Research: Consumer Trust is Enabling Path to Agentic Commerce
- Who Will Become the Next Senior? How Generative AI Erodes the Development Pathway in Software Engineering2026
- Word Meanings in Transformer Language Models2025
- Working Alliance Transformer for Psychotherapy Dialogue Classification2022
Recommender Systems107↑ top
- "It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems2021
- A Contextual-Bandit Approach to Personalized News Article Recommendation2010
- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems2023
- A Multi-facet Paradigm to Bridge Large Language Model and Recommendation2023
- A Personalized Recommender System based-on Knowledge Graph Embeddings2023
- A Probabilistic Model for Using Social Networks in Personalized Item Recommendation
- A Survey on Large Language Models for Recommendation2023
- A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems2022
- Advances and Challenges in Conversational Recommender Systems: A Survey2021
- All AI Models are Wrong, but Some are Optimal2025
- Augmenting Netflix Search with In-Session Adapted Recommendations2022
- Backtracing: Retrieving the Cause of the Query2024
- Calibrated Recommendations
- Can AI Explanations Make You Change Your Mind?2025
- Capturing Individual Human Preferences with Reward Features2025
- Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems2023
- Collaborative Deep Learning for Recommender Systems2014
- Collaborative Filtering Bandits2015
- Collaborative Filtering for Implicit Feedback Datasets
- Collaborative Filtering with Temporal Dynamics
- CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation2023
- Comparing Apples to Apples: Generating Aspect-Aware Comparative Sentences from User Reviews2023
- Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations2025
- Content-aware Collaborative Music Recommendation Using Pre-trained Neural Networks
- Conversational Recommendation: A Grand AI Challenge2022
- Cumulated Gain-Based Evaluation of IR Techniques
- Curse of “Low” Dimensionality in Recommender Systems2023
- Deep Interest Network for Click-Through Rate Prediction2017
- Deep Neural Networks for YouTube Recommendations
- Dialoging Resonance: How Users Perceive, Reciprocate and React to Chatbot’s Self-Disclosure in Conversational Recommendations2021
- Dynamically Expandable Graph Convolution for Streaming Recommendation2023
- Embarrassingly Shallow Autoencoders for Sparse Data*2019
- Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph2024
- Explainable Recommendation with Personalized Review Retrieval and Aspect Learning2023
- Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering2020
- Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
- Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model
- Fast and Slow Learning From Reviews
- Generating Query-Relevant Document Summaries via Reinforcement Learning2025
- GenRec: Large Language Model for Generative Recommendation2023
- GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation2021
- Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations2023
- HyperBandit: Contextual Bandit with Hypernetwork for Time-Varying User Preferences in Streaming Recommendation2023
- I like it... I like it not: Evaluating User Ratings Noise in Recommender Systems
- Improving Conversational Recommender Systems via Transformer-based Sequential Modelling
- INSPIRED: Toward Sociable Recommendation Dialog Systems2020
- InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models2023
- KGAT: Knowledge Graph Attention Network for Recommendation2019
- Knowledge Distillation for Enhancing Walmart E-commerce Search Relevance Using Large Language Models2025
- Large Language Models are Zero-Shot Rankers for Recommender Systems2023
- Large Language Models as Conversational Movie Recommenders: A User Study2024
- Large Language Models as Zero-Shot Conversational Recommenders2023
- Large Scale Product Graph Construction for Recommendation in E-commerce2020
- Learning Distributed Representations from Reviews for Collaborative Filtering2018
- Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries2025
- Learning to Ask Appropriate Questions in Conversational Recommendation2021
- Learning to Ask Critical Questions for Assisting Product Search2024
- Learning to Rank for Recommender Systems
- Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders2022
- Lessons Learnt From Consolidating ML Models in a Large Scale Recommendation System
- Leveraging Large Language Models in Conversational Recommender Systems2023
- LLM-Rec: Personalized Recommendation via Prompting Large Language Models2023
- LLMs as Architects and Critics for Multi-Source Opinion Summarization2025
- Measuring the Value of Social Dynamics in Online Product Ratings Forums
- Methodologies for Improving Modern Industrial Recommender Systems2023
- Monolith: Real Time Recommendation System With Collisionless Embedding Table2022
- Mostly Exploration-Free Algorithms for Contextual Bandits2017
- Multi-Task End-to-End Training Improves Conversational Recommendation2023
- Neural Collaborative Filtering2017
- Neural Collaborative Filtering vs. Matrix Factorization Revisited2020
- On Generative Agents in Recommendation2023
- On Information Distortions in Online Ratings
- OpinionConv: Conversational Product Search with Grounded Opinions2023
- Optimizing Encoder-Only Transformers for Session-Based Recommendation Systems2024
- Posting versus Lurking: Communicating in a Multiple Audience Context
- Preference Discerning with LLM-Enhanced Generative Retrieval2024
- Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis2024
- Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics2023
- Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning2025
- RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability2023
- Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)2022
- Recommendation systems and convergence of online reviews: The type of product network matters!
- Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations
- Recommender Systems with Social Regularization
- Recommending What Video to Watch Next: A Multitask Ranking System
- Reconciling the accuracy-diversity trade-off in recommendations2023
- RevCore: Review-augmented Conversational Recommendation2021
- Review-LLM: Harnessing Large Language Models for Personalized Review Generation2024
- Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation2025
- Scalable Neural Contextual Bandit for Recommender Systems2023
- Self Selection and Information Role of Online Product Reviews
- Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates2022
- The Architectural Implications of Facebook’s DNN-based Personalized Recommendation2019
- The Netflix Recommender System: Algorithms, Business Value, and Innovation
- The persuasive effects of political microtargeting in the age of generative artificial intelligence
- Topic-Guided Conversational Recommender in Multiple Domains2020
- Towards Conversational Recommendation over Multi-Type Dialogs2020
- Towards Question-based Recommender Systems2020
- Tube2Vec: Social and Semantic Embeddings of YouTube Channels2023
- Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning2021
- Unifying Nearest Neighbors Collaborative Filtering
- User-Centric Conversational Recommendation with Multi-Aspect User Modeling2022
- Using Navigation to Improve Recommendations in Real-Time
- Variational Autoencoders for Collaborative Filtering2018
- Why Do People Rate? Theory and Evidence on Online Ratings
- Wide & Deep Learning for Recommender Systems2016
- “What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge
Conversational AI Systems245↑ top
- "Ghost of the past": identifying and resolving privacy leakage from LLM's memory through proactive user interaction2024
- A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges2025
- A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems2023
- A Little Human Data Goes A Long Way2024
- A Socially-Aware Conversational Recommender System for Personalized Recipe Recommendations
- A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects2023
- A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems2024
- Absolute Zero: Reinforced Self-play Reasoning with Zero Data2025
- Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
- Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics2025
- Adding Chit-Chat to Enhance Task-Oriented Dialogues2020
- Agent A/B: Automated and Scalable A/B Testing on Live Websites with Interactive LLM Agents2025
- Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models2025
- Agreement Tracking for Multi-Issue Negotiation Dialogues2023
- AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data2025
- ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making2025
- Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning2025
- Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models2019
- Are LLMs All You Need for Task-Oriented Dialogue?2023
- Are you in a Masquerade? Exploring the Behavior and Impact of Large Language Model Driven Social Bots in Online Social Networks2023
- ARGS: Alignment as Reward-Guided Search2024
- Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models2023
- Aspect-oriented Opinion Alignment Network for Aspect-Based Sentiment Classification2023
- Assessment of Personality Dimensions Across Situations Using Conversational Speech2025
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework2023
- Backtracing: Retrieving the Cause of the Query2024
- Better Alignment with Instruction Back-and-Forth Translation2024
- Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education2025
- Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration2025
- Bigger is not always better: The importance of human-scale language modeling for psycholinguistics
- Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces.2023
- Building Persona Consistent Dialogue Agents with Offline Reinforcement Learning2023
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society2023
- Can AI Agents Agree?2026
- Can AI Have a Personality? Prompt Engineering for AI Personality Simulation: A Chatbot Case Study in Gender-Affirming Voice Therapy Training2025
- Can LLM be a Personalized Judge?2024
- CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues2024
- Capturing Individual Human Preferences with Reward Features2025
- Challenges of Large Language Models for Mental Health Counseling2023
- Characterizing Online Discussion Using Coarse Discourse Sequences
- Chatbots in Knowledge-Intensive Contexts: Comparing Intent and LLM-Based Systems2024
- Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness2024
- Cognitive Architectures for Language Agents2023
- CollabLLM: From Passive Responders to Active Collaborators2025
- Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations
- Consensus is Strategically Insufficient: Reasoning-Trace Disagreement as a Knowledge-Representation Signal2026
- Consistently Simulating Human Personas with Multi-Turn Reinforcement Learning2025
- Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations2023
- Conversation Derailment Forecasting with Graph Convolutional Networks2023
- Conversational Alignment with Artificial Intelligence in Context2025
- Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI2025
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- Conversational Semantic Parsing for Dialog State Tracking2020
- Conversations Gone Awry: Detecting Early Signs of Conversational Failure
- CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks2025
- Creating an Atomic User Model for Personality-Aware Large Language Model Interaction2026
- Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate2025
- DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions
- Deal, or no deal (or who knows)? Forecasting Uncertainty in Conversations using Large Language Models2024
- DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations2022
- Decision-Oriented Dialogue for Human–AI Collaboration2023
- Deep Neural Network Approach for the Dialog State Tracking Challenge
- DeepGesture: A conversational gesture synthesis system based on emotions and semantics2025
- Dialog Inpainting: Turning Documents into Dialogs2022
- Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources2023
- Dialogue State Tracking with a Language Model using Schema-Driven Prompting
- Dialogue Transformers2019
- DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs2025
- DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications2024
- Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning2023
- Disclose with Care: Designing Privacy Controls in Interview Chatbots2026
- Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models’ Understanding of Discourse Relations
- DiscussLLM: Teaching Large Language Models When to Speak2025
- Do Phone-Use Agents Respect Your Privacy?2026
- Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection2020
- Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search2024
- Dynamic Task-Oriented Dialogue: A Comparative Study of Llama-2 and Bert in Slot Value Generation
- Efficient Streaming Language Models with Attention Sinks2023
- Empirical Study of Symmetrical Reasoning in Conversational Chatbots2024
- Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance2024
- Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals2023
- Enhancing personalized multi-turn dialogue with curiosity reward2025
- Enhancing Pipeline-Based Conversational Agents with Large Language Model2023
- Evaluating Emotional Nuances In Dialogue Summarization2023
- Evaluating the Hidden Costs of Personalization in Large Language Models2026
- Exploring the Potential of Large Language Models in Computational Argumentation2023
- Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences2025
- Foundation Priors2025
- From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI2026
- From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models2024
- From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?2025
- From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation2025
- From Process Loss to Assembly Bonus: Human-Grounded Diagnosis of Multi-Agent LLM Collaboration2026
- From Text to Emoji: How PEFT-Driven Personality Manipulation Unleashes the Emoji Potential in LLMs2024
- Generative Agents: Interactive Simulacra of Human Behavior2023
- Goal Alignment in LLM-Based User Simulators for Conversational AI2025
- GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement2025
- Grounding Gaps in Language Model Generations2023
- H2HTalk: Evaluating Large Language Models as Emotional Companion2025
- Hello Again! LLM-powered Personalized Agent for Long-term Dialogue2024
- HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning
- How AI Coders Discuss, Disagree, and Reach Consensus: Challenges and Opportunities for LLM-Based Qualitative Coding2026
- IMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
- Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems2024
- Insert-expansions For Tool-enabled Conversational Agents2023
- IntellAgent: A Multi-Agent Framework for Evaluating Conversational AI Systems2025
- Intent Mismatch Causes LLMs to Get Lost in Multi-Turn Conversation2026
- Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues2023
- Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy2022
- Interaction Dynamics as a Reward Signal for LLMs2025
- Interactions with generative AI chatbots: unveiling dialogic dynamics, students’ perceptions, and practical competencies in creative problem-solving
- Interpreting and Steering LLM Agents for Social Simulations2026
- KETOD: Knowledge-Enriched Task-Oriented Dialogue2022
- Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations2023
- Language Model Personalization via Reward Factorization2025
- Large language models could change the future of behavioral healthcare: a proposal for responsible development and evaluation
- Learning "Partner-Aware" Collaborators in Multi-Party Collaboration2025
- Learning Retrieval Augmentation for Personalized Dialogue Generation2024
- Learning To Guide Human Experts Via Personalized Large Language Models2023
- Learning to Relate to Previous Turns in Conversational Search2023
- Learning to Select the Relevant History Turns in Conversational Question Answering2023
- Leveraging Large Language Models in Conversational Recommender Systems2023
- Lexical Entrainment for Conversational Systems2023
- Linguistic Alignment in Conversational AI: A Systematic Review of Cognitive-Linguistic Dimensions, Measurements, and User Outcomes (2020–2025)
- LLaMA-Omni: Seamless Speech Interaction with Large Language Models2024
- LLMs Get Lost In Multi-Turn Conversation2025
- Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing2024
- Making Sense of Memory in AI Agents
- MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation2023
- Memorization and Knowledge Injection in Gated LLMs2025
- Memory Sandbox: Transparent and Interactive Memory Management for Conversational Agents2023
- Modeling the Quality of Dialogical Explanations2024
- Multi-Task End-to-End Training Improves Conversational Recommendation2023
- MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs2025
- Neural Approaches to Conversational AI2018
- Neural Assistant: Joint Action Prediction, Response Generation, and Latent Knowledge Reasoning2019
- Neural Conversation Models and How to Rein Them in: A Survey of Failures and Fixes2023
- No that's not what I meant: Handling Third Position Repair in Conversational Question Answering2023
- Octopus v2: On-device language model for super agent2024
- On the Conversational Basis of Some Presuppositions
- OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
- OpinionConv: Conversational Product Search with Grounded Opinions2023
- Orchestrating Synthetic Data with Reasoning
- Overview of DialAM-2024: Argument Mining in Natural Language Dialogues
- PersLLM: A Personified Training Approach for Large Language Models2024
- PersonaAgent: When Large Language Model Agents Meet Personalization at Test Time2025
- Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback2023
- Personalization of Large Language Models: A Survey2024
- Personalized Dialogue Generation with Persona-Adaptive Attention2022
- Personalized Language Modeling from Personalized Human Feedback2024
- Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning2024
- PGMem: Tightly Coupled Persona-Memory Graph for Lifelong Personalized Agents2026
- Planning Like Human: A Dual-process Framework for Dialogue Planning2024
- Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents2023
- PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking2019
- POMDP-based Statistical Spoken Dialogue Systems: a Review
- Post-training for Efficient Communication via Convention Formation2025
- Predictive Preference Learning from Human Interventions2025
- Pretrained Persona Mixture Models and Tandem Models for Human Simulation2026
- PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes2025
- Pro-Active Systems and Influenceable Users: Simulating Pro-Activity in Task-oriented Dialogues
- Proactive behavior in voice assistants: A systematic review and conceptual model
- Proactive Conversational Agents in the Post-ChatGPT World
- Proactive Conversational Agents with Inner Thoughts2024
- Proactive Human-Machine Conversation with Explicit Conversation Goals2019
- Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support2022
- Prompted LLMs as Chatbot Modules for Long Open-domain Conversation2023
- Prompting Against Persona Drift: Comparing Intervention Timing and Content in LLM-Simulated Conversations2026
- Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration2023
- ProsocialDialog: A Prosocial Backbone for Conversational Agents2022
- Provable Benefits of In-Tool Learning for Large Language Models2025
- Quantifying Human-AI Synergy
- Quantitative Introspection in Language Models: Tracking Internal States Across Conversation2026
- Racial disparities in automated speech recognition
- Real-Time Procedural Learning From Experience for AI Agents2025
- Realtime-Venus: A full-duplex interaction system with asynchronous delegation2026
- Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning2025
- Recent Trends in Personalized Dialogue Generation: A Review of Datasets, Methodologies, and Evaluations2024
- Reflections and New Directions for Human-Centered Large Language Models2026
- Reinforcement Learning for Optimizing RAG for Domain Chatbots2024
- Relational Gains, Privacy Strains: Exploring Users' Perceptions and Experiences with ChatGPT's Memory Feature
- Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond
- Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation2025
- Rhetorical XAI: Explaining AI’s Benefits as well as its Use via Rhetorical Design2025
- RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models2023
- Scalable Language Models with Posterior Inference of Latent Thought Vectors2025
- Scaling Synthetic Data Creation with 1,000,000,000 Personas2024
- SDPO: Segment-Level Direct Preference Optimization for Social Agents2025
- SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs2025
- See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons
- Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
- Self-Directed Synthetic Dialogues and Revisions Technical Report2024
- Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels2024
- Self-Supervised Models of Speech Infer Universal Articulatory Kinematics2023
- Sequence Organization in Interaction: A Primer in Conversation Analysis
- Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making2025
- Simple Synthetic Data Reduces Sycophancy In Large Language Models2023
- SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding2023
- SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching
- Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations2026
- Supporting Physical Activity Behavior Change with LLM-Based Conversational Agents2024
- Suppressing Pink Elephants with Direct Principle Feedback2024
- Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians2026
- Synthetic Dialogue Dataset Generation using LLM Agents2024
- Tailored Conversations beyond LLMs: A RL-Based Dialogue Manager2025
- Tailored to you: longitudinal effects of personalising language models2026
- Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs2024
- Target-Guided Open-Domain Conversation2019
- Task-Oriented Dialogue as Dataflow Synthesis2020
- Task-Oriented Dialogue with In-Context Learning2024
- TaskLAMA: Probing the Complex Task Understanding of Language Models2023
- The Algorithmic Self-Portrait: Deconstructing Memory in ChatGPT2026
- The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models2026
- The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study
- The Impact of Security and Privacy Controls on Users' Emotional Engagement with Generative AI Chatbots2026
- The Levers of Political Persuasion with Conversational AI2025
- The Personalization Mirage: How LLMs Fabricate User Profiles, and Why Self-Monitoring Misleads2026
- The Severance Problem: LLMs are Unaware of the Person Beyond the Prompt2026
- Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering2023
- ToolFlow: Boosting LLM Tool-Calling Through Natural and Coherent Dialogue Synthesis2024
- Toward Conversational Agents with Context and Time Sensitive Long-term Memory2024
- Toward Robust Personalized Alignment for LLMs: Mitigating Persona Drift in Multi-Turn Dialogue2026
- Towards Conversational Recommendation over Multi-Type Dialogs2020
- Towards Human-centered Proactive Conversational Agents2024
- Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models2024
- Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression2025
- TREC iKAT 2023: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants2024
- Turn-taking and Backchannel Prediction with Acoustic and Large Language Model Fusion2024
- Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization2024
- Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models2024
- Understanding the Role of User Profile in the Personalization of Large Language Models2024
- Understanding Users' Privacy Perceptions Towards LLM's RAG-based Memory2025
- Unintended Impacts of LLM Alignment on Global Representation2024
- Useful Memories Become Faulty When Continuously Updated by LLMs2026
- User Feedback in Human-LLM Dialogues: A Lens to Understand Users But Noisy as a Learning Signal2025
- VIBE-Bench: Evaluating Personalized Large Language Models When Profiles Don't Mean Preferences2026
- Virtual Assistance in Any Context
- VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction2025
- Voxtral2025
- Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models2026
- WHEN TO ACT, WHEN TO WAIT: Modeling Structural Trajectories for Intent Triggerability in Task-Oriented Dialogue2025
- Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness2020
- “Mama Always Had a Way of Explaining Things So I Could Understand”: A Dialogue Corpus for Learning to Construct Explanations2022
- “What do others think?”: Task-Oriented Conversational Modeling with Subjective Knowledge
Knowledge Retrieval and Reasoning367↑ top
- A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models2025
- A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning2024
- A New Role for Relevance: Guiding Corpus Interaction in Agentic Search2026
- A Non-Factoid Question-Answering Taxonomy
- A Personalized Recommender System based-on Knowledge Graph Embeddings2023
- A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic2026
- A Retrospective on the ICLR 2026 Review Process
- A science conference tested AI agents as authors and reviewers
- Abg-CoQA: Clarifying Ambiguity in Conversational Question Answering
- About 30% of Humanity's Last Exam chemistry/biology answers are likely wrong2025
- Accelerating scientific discovery with Co-Scientist2025
- Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
- Active Retrieval Augmented Generation2023
- Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization2023
- Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home2025
- Adoption and Impact of Command-Line AI Coding Agents: A Study of Microsoft's Early 2026 Rollout of Claude Code and GitHub Copilot CLI2026
- Affordable AI Assistants with Knowledge Graph of Thoughts2025
- Agent Laboratory: Using LLM Agents as Research Assistants2025
- Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery2026
- Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models2025
- AI mirrors experimental science to uncover a mechanism of gene transfer crucial to bacterial evolution
- AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot2026
- AI-based Clinical Decision Support for Primary Care: A Real-World Study2025
- AI-Powered (Finance) Scholarship
- AI-Researcher: Autonomous Scientific Innovation2025
- AInsight: Augmenting Expert Decision-Making with On-the-Fly Insights Grounded in Historical Data2025
- ALIGN: Prompt-based Attribute Alignment for Reliable, Responsible, and Personalized LLM-based Decision-Making2025
- Aligning Language Models to Explicitly Handle Ambiguity2024
- An Automatic Graph Construction Framework based on Large Language Models for Recommendation2024
- Answer is All You Need: Instruction-following Text Embedding via Answering the Question2024
- Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks2026
- Argument Summarization and its Evaluation in the Era of Large Language Models2025
- Artificial Intelligence Tools Expand Scientists' Impact but Contract Science's Focus (Just accepted by Nature, to be online soon)2024
- Artificial intelligence vs. human expert: Licensed mental health clinicians' blinded evaluation of AI-generated and expert psychological advice
- Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models2023
- Asking Clarifying Questions Based on Negative Feedback in Conversational Search2021
- Assessing the Ability of ChatGPT to Screen Articles for Systematic Reviews2023
- Assuring an accurate research record
- Attention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS Category
- Attention Mechanisms Perspective: Exploring LLM Processing of Graph-Structured Data2025
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language Models2025
- Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation2024
- Automation Bias in AI-Assisted Medical Decision-Making under Time Pressure in Computational Pathology2024
- Automation Bias in Mammography: The Impact of AI BI-RADS Suggestions on Reader Performance
- Automation, AI, and the Intergenerational Transmission of Knowledge2025
- Autonomous Research Agents: A Survey of AI Scientists and the Verification Gap2026
- AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts2020
- Backtracing: Retrieving the Cause of the Query2024
- Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback2025
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models2025
- BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms2026
- Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought2023
- Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need2025
- Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM2024
- Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions2021
- Building Decision Making Models Through Language Model Regime2024
- Can Language Models Solve Graph Problems in Natural Language?2023
- Can Large Language Models Capture Human Annotator Disagreements?2025
- Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess2025
- Can large language models provide useful feedback on research papers? A large-scale empirical analysis2023
- Can Large Language Models Understand Context?2024
- Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 20252025
- Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?2024
- Can Theoretical Physics Research Benefit from Language Agents?2025
- Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence
- Capabilities of Gemini Models in Medicine2024
- Causal Claims in Economics2025
- CEO: Corpus-based Open-Domain Event Ontology Induction2023
- Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models2023
- Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering2023
- Chain-of-Retrieval Augmented Generation2025
- Chamain: Harmonizing Character Persona Integrity with Domain-Adaptive Knowledge in Dialogue Generation
- Characterizing Deep Research: A Benchmark and Formal Definition2025
- Chatbots in Knowledge-Intensive Contexts: Comparing Intent and LLM-Based Systems2024
- ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling2023
- CLaRa: Bridging Retrieval and Generation with Continuous Latent Reasoning2025
- Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness2024
- Clinical knowledge in LLMs does not translate to human interactions2025
- Clustering-based Sampling for Few-Shot Cross-Domain Keyphrase Extraction
- Combining Human Expertise with Artificial Intelligence: Experimental Evidence from Radiology
- ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning2025
- Context Embeddings for Efficient Answer Generation in RAG2024
- Context Tuning for Retrieval Augmented Generation2023
- Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation
- CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
- Could AI Slow Science? Confronting the Production-Progress Paradox
- Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains2025
- Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs2023
- Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory2025
- DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL2025
- DeepRAG: Thinking to Retrieval Step by Step for Large Language Models2025
- DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments2025
- Dense Retrieval Adaptation using Target Domain Description2023
- DiaSynth: Synthetic Dialogue Generation Framework for Low Resource Dialogue Applications2024
- Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning2023
- Do as AI say: susceptibility in deployment of clinical decision-aids
- Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models2024
- Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review2026
- Do LLMs Truly Understand When a Precedent Is Overruled?2025
- Do We Trust ChatGPT as much as Google Search and Wikipedia?
- Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey2023
- Domain-specific Question Answering with Hybrid Search2024
- Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary?2025
- DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models2024
- DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation2025
- Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
- Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge2024
- Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation2025
- Empowering Domain-Specific Language Models with Graph-Oriented Databases: A Paradigm Shift in Performance and Model Maintenance2024
- Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy
- Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
- Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation2023
- Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System2023
- Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy2023
- Evaluating Large Language Models in Exercises of UML Class Diagram Modeling
- Evaluating Very Long-Term Conversational Memory of LLM Agents2024
- Event-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant Trading2025
- Expertise
- Exploring Large Language Models for Knowledge Graph Completion2023
- Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
- Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
- Exploring the use of AI authors and reviewers at Agents4Science2025
- Explosion of formulaic research articles, including inappropriate study designs and false discoveries, based on the NHANES US national health database
- Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation2024
- FinCoT: Grounding Chain-of-Thought in Expert Financial Reasoning2025
- Finding Common Ground: Using Large Language Models to Detect Agreement in Multi-Agent Decision Conferences2025
- Fine-tuning Pre-trained Language Models for Dialogical Argument Mining with Inference Anchoring Theory
- FormulaOne: Measuring the Depth of Algorithmic Reasoning Beyond Competitive Programming2025
- From Articles to Code: On-Demand Generation of Core Algorithms from Scientific Publications2025
- From Junior to Senior: Allocating Agency and Navigating Professional Growth in Agentic AI-Mediated Software Engineering2026
- From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization2023
- From Local to Global: A Graph RAG Approach to Query-Focused Summarization2024
- From Louvain to Leiden: guaranteeing well-connected communities2018
- From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?2025
- From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation2025
- From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting2023
- Further Explorations on the Use of Large Language Models for Thematic Analysis. Open-Ended Prompts, Better Terminologies and Thematic Maps
- GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks2025
- Generating Query-Relevant Document Summaries via Reinforcement Learning2025
- Generative AI at Work2023
- Generative AI for Analysts2025
- Generative AI Uses and Risks for Knowledge Workers in a Science Organization2025
- Generative Engine Optimization at Scale: Measuring Brand Visibility Across AI Search Engines2026
- Generator-Retriever-Generator: A Novel Approach to Open-domain Question Answering2023
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark2023
- GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation
- GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers
- Graph of Thoughts: Solving Elaborate Problems with Large Language Models2023
- Graph-enhanced Large Language Models in Asynchronous Plan Reasoning2024
- Graphionale: How Graph Visualizations of LLM Rationales Affect Human Decision Making2026
- GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement2025
- Grounding Multilingual Multimodal LLMs With Cultural Knowledge2025
- Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools2024
- Harnessing Business and Media Insights with Large Language Models2024
- Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review2025
- Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence2026
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models2024
- Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis2025
- How AI is transforming work at Anthropic
- How much does AI impact development speed? An enterprise-based randomized controlled trial2024
- How to Find Fantastic AI Papers: Self-Rankings as a Powerful Predictor of Scientific Impact Beyond Peer Review2025
- How well can large language models explain business processes?2024
- Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks2024
- ICLR 2026 Response to LLM-Generated Papers and Reviews
- Improving Document-Level Sentiment Analysis with User and Product Context2020
- In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss2024
- Informed Named Entity Recognition Decoding For Generative Language Models2023
- Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey2025
- Inspecting and Editing Knowledge Representations in Language Models2023
- Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders
- Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity2023
- Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes2026
- It's About Time: Incorporating Temporality in Retrieval Augmented Language Models2024
- JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering2021
- Knowledge Graph Prompting for Multi-Document Question Answering2023
- Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains2025
- Knowledge Retrieval Based on Generative AI2025
- Kosmos: An AI Scientist for Autonomous Discovery2025
- Language Agents as Optimizable Graphs2024
- Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought2022
- Language models are weak learners2023
- Large Language Model-based Data Science Agent: A Survey2025
- Large Language Models and Knowledge Graphs: Opportunities and Challenges2023
- Large Language Models and Scientific Discourse: Where's the Intelligence?2026
- Large Language Models as Planning Domain Generators2024
- Large Language Models can accomplish Business Process Management Tasks2023
- Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search2023
- Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities2025
- Lawyering in the Age of Artificial Intelligence
- Leading OpenAI researcher announced a GPT-5 math breakthrough that never happened
- Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments2025
- Learning Retrieval Augmentation for Personalized Dialogue Generation2024
- Learning to Ask Appropriate Questions in Conversational Recommendation2021
- Learning to Ask Critical Questions for Assisting Product Search2024
- Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering2019
- Learning to Select the Relevant History Turns in Conversational Question Answering2023
- LESS: Selecting Influential Data for Targeted Instruction Tuning2024
- Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset2023
- Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning2023
- LLM Augmentations to support Analytical Reasoning over Multiple Documents2024
- LLM Policy
- LLM+P: Empowering Large Language Models with Optimal Planning Proficiency2023
- LLM-Generated or Human-Written? Comparing Review and Non-Review Papers on ArXiv2026
- LLM-Independent Adaptive RAG: Let the Question Speak for Itself2025
- LLM-REVal: Can We Trust LLM Reviewers Yet?2025
- LLMs as Architects and Critics for Multi-Source Opinion Summarization2025
- LLMs learn scientific taste from institutional traces across the social sciences2026
- LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering2024
- LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs2024
- LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction Problems2025
- LSR: Reinforcement Learning with Supervised Reward Outperforms SFT in Instruction Following2025
- Mapping the Increasing Use of LLMs in Scientific Papers2024
- Mastering Diverse Domains through World Models2023
- Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity2025
- Measuring what Matters: Construct Validity in Large Language Model Benchmarks2025
- MedGemma Technical Report2025
- Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?2024
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications2025
- Memory in the Age of AI Agents: A Survey — Forms, Functions and Dynamics2025
- Metacognitive Retrieval-Augmented Large Language Models2024
- Minds versus Machines: Rethinking Entailment Verification with Language Models2024
- MindSearch: Mimicking Human Minds Elicits Deep AI Searcher2024
- Mitigating Hallucinations in Large Language Models via Causal Reasoning2025
- Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence2024
- Modeling Code: Is Text All You Need?2025
- Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews2024
- Most peer reviewers now use AI, and publishing policy must keep pace
- Multi-hop Question Answering via Reasoning Chains2019
- Multi-Task End-to-End Training Improves Conversational Recommendation2023
- MultiChallenge: A Realistic Multi-Turn Conversation Evaluation Benchmark Challenging to Frontier LLMs2025
- MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries2024
- Neural Topic Modeling of Psychotherapy Sessions2022
- NeuroQL: A Neuro-Symbolic Language and Dataset for Inter-Subjective Reasoning2023
- Neurosymbolic AI- Why, What, and How2023
- Neutralizing Bias in LLM Reasoning using Entailment Graphs2025
- News Sentiment Embeddings for Stock Price Forecasting2025
- News Source Citing Patterns in AI Search Systems2025
- No that's not what I meant: Handling Third Position Repair in Conversational Question Answering2023
- Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance2025
- Octopus v4: Graph of language models2024
- On the Impact of Fine-Tuning on Chain-of-Thought Reasoning2024
- On The Persona-based Summarization of Domain-Specific Documents2024
- On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
- On the Theoretical Limitations of Embedding-Based Retrieval2025
- On Violations of LLM Review Policies
- On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting2025
- OpenDialKG: Explainable Conversational Reasoning with Attention-based Walks over Knowledge Graphs
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning2024
- Pangram Predicts 21% of ICLR Reviews are AI-Generated
- PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods2024
- PolyResponse: A Rank-based Approach to Task-Oriented Dialogue with Application in Restaurant Search and Booking2019
- Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards2025
- Precise Zero-Shot Dense Retrieval without Relevance Labels2022
- Predicting Empirical AI Research Outcomes with Language Models2025
- Premise-Augmented Reasoning Chains Improve Error Identification in Math reasoning with LLMs2025
- Proactive Human-Machine Conversation with Explicit Conversation Goals2019
- Probing Structured Semantics Understanding and Generation of Language Models via Question Answering2024
- Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games2023
- Progressive-Hint Prompting Improves Reasoning in Large Language Models2023
- Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution2023
- Proxona: Leveraging LLM-Driven Personas to Enhance Creators' Understanding of Their Audience2024
- Query Rewriting for Retrieval-Augmented Large Language Models2023
- Query Understanding in the Age of Large Language Models2023
- QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?2025
- RAG Does Not Work for Enterprises2024
- RAG-Gym: Systematic Optimization of Language Agents for Retrieval-Augmented Generation2025
- RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query Parallelism2025
- RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM2026
- Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains2025
- ReALM: Reference Resolution As Language Modeling2024
- ReasonVQA: A Multi-hop Reasoning Benchmark with Structural Knowledge for Visual Question Answering2025
- Reawakening knowledge: Anticipatory recovery from catastrophic interference via structured training2024
- Reinforcement Learning for Optimizing RAG for Domain Chatbots2024
- Reranking-based Generation for Unbiased Perspective Summarization2025
- Rethinking Memory as Continuously Evolving Connectivity2026
- Rethinking STS and NLI in Large Language Models
- Retrieval Collapses When AI Pollutes the Web2026
- Retrieval-augmented reasoning with lean language models2025
- RevCore: Review-augmented Conversational Recommendation2021
- Revisiting RAG Ensemble: A Theoretical and Mechanistic Analysis of Multi-RAG System Collaboration2025
- RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation2024
- Robin: A multi-agent system for automating scientific discovery2025
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains2025
- Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs2025
- SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval2023
- Scaling Expert Language Models with Unsupervised Domain Discovery2023
- Schema-learning and rebinding as mechanisms of in-context learning and emergence2023
- Scholars sneaking phrases into papers to fool AI reviewers
- Scientific production in the era of Large Language Models2026
- Screening, sorting, and the feedback cycles that imperil peer review2025
- SEAL: Self-Evolving Agentic Learning for Conversational Question Answering over Knowledge Graphs2025
- Search-o1: Agentic Search-Enhanced Large Reasoning Models2025
- Searching for Best Practices in Retrieval-Augmented Generation2024
- Self-critiquing models for assisting human evaluators2022
- Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics2025
- Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection2023
- Self-reflective Uncertainties: Do LLMs Know Their Internal Answer Distribution?2025
- Sequential Diagnosis with Language Models2025
- Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue2024
- Sleep-time Compute: Beyond Inference Scaling at Test-time2025
- SParC: Cross-Domain Semantic Parsing in Context
- SpreadsheetLLM: Encoding Spreadsheets for Large Language Models2024
- Still Waters, Rapid Currents: Early Labor Market Transformation under Generative AI
- Stop Automating Peer Review Without Rigorous Evaluation2026
- Stream of Search (SoS): Learning to Search in Language2024
- StructGPT: A General Framework for Large Language Model to Reason over Structured Data2023
- StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization2024
- Structured and Natural Responses Co-generation for Conversational Search
- Summaries, Highlights, and Action items: Design, implementation and evaluation of an LLM-powered meeting recap system2023
- Superhuman performance of a large language model on the reasoning tasks of a physician2024
- SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs2025
- Talk like a Graph: Encoding Graphs for Large Language Models2023
- Talking About Large Language Models2022
- TaskLAMA: Probing the Complex Task Understanding of Language Models2023
- The AI Hippocampus: How Far are We From Human Memory?2026
- The AI Scientist Generates its First Peer-Reviewed Scientific Publication
- The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search2025
- The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs2025
- The Consensus Game: Language Model Generation via Equilibrium Search2023
- The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think2025
- The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise
- The Emerging AI Paper-Review Arms Race: Adversarial Co-Evolution in Scholarly Publishing2026
- The entities enabling scientific fraud at scale are large, resilient, and growing rapidly
- The Incomplete Bridge: How AI Research (Mis)Engages with Psychology2025
- The Insanity of Relying on Vector Embeddings: Why RAG Fails
- The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market
- Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph2023
- Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor2026
- Thinking Assistants: LLM-Based Conversational Assistants that Help Users Think By Asking rather than Answering2023
- Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation2024
- Topic Shift Detection for Mixed Initiative Response
- Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties2025
- Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals2021
- Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap2026
- Towards Accurate Differential Diagnosis with Large Language Models2023
- Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs2025
- Towards Conversational Diagnostic AI2024
- Towards End-to-End Automation of AI Research2026
- Towards Understanding Counseling Conversations: Domain Knowledge and Large Language Models2024
- Training for Compositional Sensitivity Reduces Dense Retrieval Generalization2026
- Transcendence: Generative Models Can Outperform The Experts That Train Them2024
- Tuning Language Models by Proxy
- Turiya at DialAM-2024: Inference Anchoring Theory Based LLM Parsers
- Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering2025
- Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models2024
- Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting2025
- Unifying Large Language Models and Knowledge Graphs: A Roadmap2023
- UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs2024
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study2025
- UR2: Unify RAG and Reasoning through Reinforcement Learning2025
- Using LLMs to Discover Legal Factors2024
- Using Topic Models to Identify Clients’ Functioning Levels and Alliance Ruptures in Psychotherapy
- Verification-Conditioned Use: A Qualitative Study on How Generative AI Reshapes Learning, Autonomy, and Market Entry for Junior Software Developers2026
- VibeSearchBench: Benchmarking Long-horizon Proactive Search in the Wild2026
- Virtual Assistance in Any Context
- Virtuous Machines: Towards Artificial General Science2025
- We are Changing our Developer Productivity Experiment Design
- Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation
- Web-Browsing LLMs Can Access Social Media Profiles and Infer User Demographics2025
- What Do Large Language Models Know? Tacit Knowledge as a Potential Causal-Explanatory Structure2025
- What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity2025
- What is a Discourse Graph?
- Who's Submitting AI-Tainted Filings in Court?
- Why Do Multi-agent LLM Systems Fail?
- You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures2025
- ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning2025
- 𝙻𝙼𝟸: A Simple Society of Language Models Solves Complex Reasoning2024
Applied AI and Human Collaboration387↑ top
- "If You're Very Clever, No One Knows You've Used It": The Social Dynamics of Developing Generative AI Literacy in the Workplace2026
- "Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline2024
- "It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models2024
- "That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments2026
- 'hello there the jacobian conjecture is false thanx': why a tiny social media post has mathematicians rethinking AI
- 2025 Stack Overflow Developer Survey: developers remain willing but reluctant to use AI
- 2026 State of the Workplace
- 2026 Work Trend Index: Agents, human agency, and the opportunity for every organization
- A Bad Day For Humans, a Worse Day For Humanity
- A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy2025
- A Comprehensive Review of AI-based Intelligent Tutoring Systems: Applications and Challenges2025
- A Cursor AI agent wiped a production database in 9 seconds
- A Framework for Collaborating a Large Language Model Tool in Brainstorming for Triggering Creative Thoughts2024
- A Rational Analysis of the Effects of Sycophantic AI2026
- Adaptive Learning Systems: Personalized Curriculum Design Using LLM-Powered Analytics2025
- Adoption of Generative AI in the Workplace: Increasing and Shifting the Balance of Productivity and Communication Activity2026
- Advancing AI Negotiations: A Large-Scale Autonomous Negotiation Competition2025
- Agent Laboratory: Using LLM Agents as Research Assistants2025
- Agentic coding and persistent returns to expertise
- Agentic information systems
- AgentRxiv: Towards Collaborative Autonomous Research2025
- Agents, robots, and us: Skill partnerships in the age of AI
- AI 'brain fry' (BCG study of 1,488 US workers)
- AI Adoption and System-Wide Change
- AI Allows More Diversity in the Forms of Social Science
- AI and Elections: How Well Do AI Platforms Answer Voter Questions?
- AI and Scale: A Quantitative Task-Based Theory of Automation
- AI Assertion
- AI Assistance Reduces Persistence and Hurts Independent Performance2026
- AI at Work 2026: Strategy Matters More Than Tools
- AI chatbots can persuade voters
- AI companies must work with the research community to protect attribution
- AI Content Is Everywhere on Social Media, Especially LinkedIn
- AI for Science 2026: The State of AI Use among Researchers
- AI Hallucination Cases database
- AI Is Killing the Cover Letter
- AI Is Not Conscious, But It Is Becoming Our Unconscious
- AI Is Starting to Pay Off: Almost 50% of Companies Now Generate Value with It (Applied AI Index 2026)
- AI Meets the Classroom: When Does ChatGPT Harm Learning?2024
- AI Now Writes as Many Online Articles as Humans
- AI promised to free up workers' time. UC Berkeley Haas researchers found the opposite.
- AI scientists are changing research — institutions, funders and publishers must respond
- AI Self-preferencing in Algorithmic Hiring: Empirical Evidence and Insights2025
- AI Skills Improve Job Prospects: Causal Evidence from a Hiring Experiment2026
- AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances2024
- AI tutoring outperforms in-class active learning: an RCT introducing a novel research-based design in an authentic educational setting
- AI's Effect on Workplace Culture
- AI, networks and Mechanical Turks
- AI, tools and transformation
- AI-Augmented Strategic Decision-Making Under Time Constraints: An Experimental Study on Mental Representations and Strategic Foresight
- AI-led layoffs: What HR leaders wish they knew before making job cuts
- AI-Powered (Finance) Scholarship
- AI-Researcher: Autonomous Scientific Innovation2025
- AI-written admissions essays are widespread but penalized2026
- Americans and AI 2026: Chatbots, smart devices and views on impact
- An AI trust crisis: 70% of hiring managers trust AI to make faster and better hiring decisions, only 8% of job seekers call it fair
- An Eye Tracking Study: Are AI Overviews Changing Search Behavior?
- Anthropic Economic Index report: Cadences
- Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
- Anthropic Education Report: The AI Fluency Index
- Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow2023
- Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media2024
- Artificial Intelligence and Management: The Automation-Augmentation Paradox
- Artificial Intelligence and the Labor Market∗
- Artificial Intelligence, Productivity, and the Workforce: Evidence from Corporate Executives
- As Amazon lets Mechanical Turk fade, Mercor hits a $2 billion gross run rate
- Assistant or Actor? Student Trust, Control, and Delegation Regret When Using a General-Purpose AI Agent2026
- Auditing Political Alignment in LLM Assistants: Engagement, Stance, and User Identity2026
- Augmenting the algorithm: Emerging human-in-the-loop work configurations
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration2026
- Being honest about using AI at work makes people trust you less, research finds
- Benchmarking the Pedagogical Knowledge of Large Language Models2025
- Beware of Metacognitive Laziness: Effects of Generative Artificial Intelligence on Learning Motivation, Processes, and Performance2024
- Beyond "Made with AI": Visualizing Provenance Density to Mitigate the Transparency Penalty2026
- Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback2025
- Beyond AI Exposure: Which Tasks are Cost-Effective to Automate with Computer Vision?
- Beyond AI Literacy: A Structured Review and Exploratory Meta-Analysis of Measures for Competent Generative-AI Use2026
- Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education2025
- Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration2025
- Beyond Discrete Personas: Personality Modeling Through Journal Intensive Conversations2024
- Beyond Productivity: Measuring the Real Value of AI
- Biased AI writing assistants shift users' attitudes on societal issues
- Blissful (A)Ignorance: People form overly positive impressions of others based on their written messages, despite wide-scale adoption of Generative AI2025
- Breaking: Sycophantic AI distorts belief, manufacturing certainty where there should be doubt
- Bridging the gulf of envisioning: Cognitive design challenges in llm interfaces.2023
- Building Machines that Learn and Think with People2024
- Building Pro-Worker AI
- Can AI Do Strategy?
- Can AI mediation improve democratic deliberation?2026
- Can Large Language Models Make the Grade? An Empirical Study Evaluating LLMs Ability to Mark Short Answer Questions in K-12 Education2024
- Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-42025
- CBA reverses AI-driven job cuts, admits 'error'
- Challenger Report September 2026: Job cuts fall; AI leading reason YTD
- Challenging Partisan Expectations Reduces Political Polarization2026
- Channel monetization policies: inauthentic content
- Characterizing Delusional Spirals through Human-LLM Chat Logs2026
- Chatting with Bots: AI, Speech Acts, and the Edge of Assertion2024
- Choosing to Stay Human
- Claude Dispatch and the Power of Interfaces
- Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence2024
- Complementary remarks from Gary Marcus and Terence Tao on OpenAI's giant math drop
- Consult Evaluation: Scottish Government's Non-surgical Cosmetic Procedures Consultation
- Content Independence Day, one year on: building the business model for the agentic Internet
- Controlling Linguistic Style Aspects in Neural Language Generation2017
- CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions2025
- Culture Becomes a Dark Forest
- Cyborgs, Centaurs and Self-Automators: The Three Modes of Human-GenAI Knowledge Work and Their Implications for Skilling and the Future of Expertise
- DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions
- Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories2026
- DATATALES: Investigating the use of Large Language Models for Authoring Data-Driven Articles2023
- Deloitte refunds Australian government for AI-flawed report
- Deloitte to refund government after using AI in $440k report
- Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools2026
- Designing Against Deskilling: Metacognitive Feedback Reduces Cognitive Offloading to LLM Assistants2026
- Designing Proactive Thought Partners for Writing2026
- Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy2023
- Digital News Report 2026
- DOC: Improving Long Story Coherence With Detailed Outline Control2022
- Does AI Assistance Leave a Temporal Fingerprint? Detecting Overreliance in AI-Assisted Writing and Programming2026
- Does AI Save Time on Product Design? A Randomized Controlled Experiment of AI Prompt-to-Design Workflows2026
- DPMT: Dual Process Multi-scale Theory of Mind Framework for Real-time Human-AI Collaboration2025
- Dutch privacy watchdog warns against using AI chatbots for voting advice
- Emerging uses of AI chatbots for news and what it means for journalism (Digital News Report 2026)
- Enhancing AI-Assisted Group Decision Making through LLM-Powered Devil's Advocate
- Epistemic Deference to AI2025
- Estimating AI productivity gains from Claude conversations
- Everyone Has Data. The Moat Is Data That Means Something.
- Evidence as content
- Evidence of a social evaluation penalty for using AI
- Evidence-centered Assessment for Writing with Generative AI2024
- Experimental evidence of the effects of large language models versus web search on depth of learning
- Explainable Compliance Detection with Multi-Hop Natural Language Inference on Assurance Case Structure2025
- Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review2024
- Exploring the Impact of Artificial Intelligence: Prediction versus Judgment
- Firm Data on AI
- From Articles to Code: On-Demand Generation of Core Algorithms from Scientific Publications2025
- From Producing to Validating: How AI Is Deskilling Freelancers2026
- From Tools to Teammates: Navigating the New Human-AI Relationship
- Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce2025
- Gartner predicts over 40% of agentic AI projects will be canceled by end of 2027
- Gdpval: Evaluating Ai Model Performance On Real-world Economically Valuable Tasks
- Gebruik AI niet voor stemadvies
- Gemini at Work 2026: Introducing Gemini agent
- Generating Query-Relevant Document Summaries via Reinforcement Learning2025
- Generative AI at work: mundane and productive articulation
- Generative AI enhances individual creativity but reduces the collective diversity of novel content
- Generative AI in Real-World Workplaces
- Generative AI without guardrails can harm learning: Evidence from high school mathematics
- Generative Artificial Intelligence and Evaluating Strategic Decisions
- Generative Interfaces for Language Models2025
- Generative UI: LLMs are Effective UI Generators2026
- Genius on Demand: The Value of Transformative Artificial Intelligence
- GhostWriter: Augmenting Collaborative Human-AI Writing Experiences Through Personalization and Agency2024
- Goodhart's Law and AI
- Google users are less likely to click on links when an AI summary appears in the results
- GPT-4 as a Homework Tutor can Improve Student Engagement and Learning Outcomes2024
- GRASP: Municipal Budget AI Chatbots for Enhancing Civic Engagement2025
- Harnessing LLMs Without Surrendering Control: Delegation Boundaries in Visual Data Storytelling Authoring2026
- HealthBench: Evaluating Large Language Models Towards Improved Human Health2025
- Heavy AI Users Face 3x More Hallucinations and Spend 10x Longer to Get Answers
- Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility
- Homogenization Effects of Large Language Models on Human Creative Ideation2024
- How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025
- How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study2025
- How AI Can Degrade Human Performance in High-Stakes Settings
- How AI Impacts Skill Formation2026
- How AI Is Changing Search Behaviors
- How Exposed Are UK Jobs to Generative AI? Developing and Applying a Novel Task-Based Index2025
- How latent and prompting biases in AI-generated historical narratives influence opinions
- How Organizations Use AI: Evidence from ChatGPT2026
- How People Use ChatGPT
- How people use Claude for support, advice, and companionship
- How Teens Use and View AI
- How Well Can AI Do Strategy? Empirical Benchmarking Using Strategy Simulations
- Human mathematics in the age of reasoning machines
- Human-AI agency in the age of generative AI
- Human-AI collaborative decision-making as an organization design problem
- Human-AI Ensembles: When Can They Work?
- Humanism without (All) Humans
- Humans and Technology: Forms of Conjoined Agency in Organizations
- Humans in the Loop: The Evolution of Work in Early Experiments with Generative AI
- Hungary's 2026 election: AI-driven post-reality campaigning and its limits
- I wrote an AI textbook — how long until AI can do it better?
- IFEvalCode: Controlled Code Generation2025
- Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia2026
- Import AI 475: Swarm scaling; Google DeepMind watermarks biology; and the AI science economy
- Intent by Discovery: Designing the AI User Experience
- Interaction Context Often Increases Sycophancy in LLMs2025
- Interactions with generative AI chatbots: unveiling dialogic dynamics, students’ perceptions, and practical competencies in creative problem-solving
- Introducing Anthropic Interviewer: What 1,250 professionals told us about working with AI
- Investigating Affective Use and Emotional Well-being on ChatGPT2025
- Ipsos Global Trustworthiness Index 2026
- Is it Cake or is it AI? A Systematic Review of Human Uncertainty in Distinguishing Generative Artificial Intelligence Content2026
- Journalism, Media, and Technology Trends and Predictions 2026
- K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs2026
- Keeping conversations real on LinkedIn
- KellyBench: Can Language Models Beat the Market?
- Klarna says AI agent does work of 853 employees
- Knowledge Collapse
- Landmark German ruling declares Google's AI Overviews are Google's own words and makes it liable for false answers
- Large AI models are cultural and social technologies
- Large Language Model Turnover Undermines Screening for Artificial Intelligence-Assisted Scientific Writing2026
- Large Language Model-based Data Science Agent: A Survey2025
- Large Language Models can accomplish Business Process Management Tasks2023
- Large language models can segment narrative events similarly to humans2023
- Learning by Chatting? Investigating the Impact of Generative AI on Information Seeking and Learning2026
- Liability for AI: German court takes action (OLG Hamm I-4 UKl 3/25)
- LinkedIn adds a button to report AI-generated 'slop'
- LinkedIn AI Content Study: 81% of Long-Form Posts Are Likely AI
- LinkedIn CEO says AI writing is not as popular as he expected it to be
- LinkedIn Talent Research 2026
- LinkedIn's war on AI slop is not just a policy update—it is an admission that the platform lost control of its feed
- LLM or Human? Perceptions of Trust and Information Quality in Research Summaries2026
- LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users2024
- LLMs as Architects and Critics for Multi-Source Opinion Summarization2025
- Lower engagement of cognitive control, attention, modulation networks and lower creativity in children while using ChatGPT: an fMRI study
- Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit2025
- Macroeconomic productivity gains from artificial intelligence in G7 economies
- Making Talk Cheap: Generative AI and Labor Market Signaling2025
- Mathematical methods and human thought in the age of AI2026
- Mathematicians are developing rules for AI use — other fields should follow
- Mathematicians are grappling with the possibility that AI might eclipse them
- Max Horkheimer (Stanford Encyclopedia of Philosophy)
- Measuring AI "Slop" in Text2025
- Measuring and Mitigating Persona Distortions from AI Writing Assistance2026
- Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications2025
- Meta created an internal AI token leaderboard (tokenmaxxing)
- Metadiscursive nouns in academic argument: ChatGPT vs student practices
- Microsoft New Future of Work Report 2025
- Mindstorms in Natural Language-Based Societies of Mind2023
- MIT LLM Election Observatory (secondary write-up)
- Moffatt v. Air Canada, 2024 BCCRT 149 (McCarthy Tetrault summary)
- More Versus Better, Part I
- Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality
- New Research: AIs are highly inconsistent when recommending brands or products
- New User Trends on Wikipedia
- News Integrity in AI Assistants
- News Sentiment Embeddings for Stock Price Forecasting2025
- Not the Interface Between the Machine & the Model But the One Between the Model & the Human
- notes on AI & popular politics
- O-Ring Automation
- OmniEdu: Open Foundation Models for Learning and Teaching2026
- OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking2025
- On the Loose: The Coming of Userless Agents
- One year of agentic AI: Six lessons from the people doing the work
- Openagents: An Open Platform For Language Agents In The Wild2023
- OpenAI rolls back ChatGPT's sycophancy and explains what went wrong
- OpinionConv: Conversational Product Search with Grounded Opinions2023
- Our Eukaryotic Moment
- Owning Our Words: Sounding the Depths of Language
- PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing2026
- Penalizing Transparency? How AI Disclosure and Author Demographics Shape Human and AI Judgments About Writing2025
- People Defer to AI Moral Advice, But Not Blindly
- People Overtrust AI-Generated Medical Advice despite Low Accuracy
- Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study2026
- Petrified factuality
- Pluribus and Our Age of Hive Minds
- PosterMate: Audience-driven Collaborative Persona Agents for Poster Design2025
- Predictions 2026: The Workforce Muddles Through Ambient Disruption
- Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation2025
- Project Vend: Phase two
- Proving (literally) that ChatGPT isn't conscious
- Putting AI on the Org Chart: Evidence on Delegation and Accountability
- PwC's 29th Global CEO Survey
- Quality work in the future: New directions via a co-evolving sociotechnical systems perspective
- RAG Does Not Work for Enterprises2024
- Re3: Generating Longer Stories With Recursive Reprompting and Revision2022
- Reimagining Legal Fact Verification with GenAI: Toward Effective Human-AI Collaboration2026
- Reinforcement Learning for Optimizing RAG for Domain Chatbots2024
- Research: Gen AI Makes People More Productive—and Less Motivated
- ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models2023
- Rise of agentic AI: How trust is the key to human-AI collaboration
- Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization
- Roles of Artificial Intelligence in Collaboration with Humans: Automation, Augmentation, and the Future of Work
- SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval2023
- Scale over Preference: The Impact of AI-Generated Content on Online Content Ecology2026
- Search, Discovery, Pills, and Portals
- Seeing to Think? How Source Transparency Design Shapes Interactive Information Seeking and Evaluation in Conversational AI2026
- Shifting Work Patterns with Generative AI2025
- Show Me Your Prompts! How Writers Feel About Sharing Prompts in Collaborative Text Editors2026
- Signaling in the Age of AI: Evidence from Cover Letters2025
- Skill Development, Maintenance, Erosion, and Revaluation: How Knowledge Workers Experience Generative AI
- Snowflake Summit 2026: Everyone Owns Context Now
- Social Skill Training with Large Language Models
- Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems
- Some Simple Economics of AGI2026
- State of AI in the Enterprise 2026
- Statement on blowup results with Levent Alpöge
- StoryScope: Investigating idiosyncrasies in AI fiction2026
- Stranded Credentials: Keeping Online Reputation Systems Informative in the AI Era2026
- Strange Knowledgeability
- Strengthening ChatGPT's responses in sensitive conversations
- Synthetic Contact with AI Reduces Cross-Partisan Animosity2026
- TaleStream: Supporting Story Ideation with Trope Knowledge2023
- Talk, Trust, and Trade-Offs: How and Why Teens Use AI Companions
- Tech Trends 2026 (chapter: The agentic reality check: Preparing for a silicon-based workforce)
- The 2026 AI Index Report: Economy
- The agentic organization: Contours of the next paradigm for the AI era
- The AI Confidence Trap (AI at Work Pulse Survey)
- The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors2023
- The AI Industry Has Finally Discovered the Hardest Test: Politics
- The AI productivity take-off is finally visible (Brynjolfsson, FT) — reported by Fortune
- The Articulation Barrier: Prompt-Driven AI UX Hurts Usability
- The Assistant Erased You: Measuring Loss of Authorship Signals in AI-Mediated Communication2026
- The Decision to Verify: How Warmth and User Characteristics Shape Reliance on Conversational Agents for Information Search2026
- The Dilemmas of Delegation
- The Economics of Bicycles for the Mind
- The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis
- The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review
- The Emerging Agentic Enterprise: How Leaders Must Navigate a New Age of AI
- The Empty Promise of Data Moats
- The GenAI Divide: State of AI in Business 2025
- The hidden costs of workslop
- The Homogenizing Effect of Large Language Models on Human Expression and Thought2025
- The human-authorship halo: attribution bias in literary style evaluation by humans and AI2025
- The Human-Machine Knowledge Spiral2026
- The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas2025
- The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers
- The Impact of Generative AI on Social Media: An Experimental Study2025
- The impact of generative artificial intelligence on socioeconomic inequalities and policy making
- The Impact of Google AI Overviews on Publisher Traffic and User Experience: Evidence from a Field Experiment
- The Labor Market Effects of Generative Artificial Intelligence
- The many masks LLMs wear
- The New Shape of Search: How Conversational AI Recomposes Information Seeking2026
- The Overhang
- The Productivity J-Curve: How Intangibles Complement General Purpose Technologies
- The Rapid Adoption of Generative AI
- The Rise of Industrial AI in America: Microfoundations of the Productivity J-curve(s)
- The Simple Macroeconomics of AI
- The state of AI in 2026: On the road to ROI
- The state of enterprise AI
- The State of Generative AI Adoption in 2025
- The Strategic Foresight of LLMs: Evidence from a Fully Prospective Venture Tournament2026
- The Ten Commandments of the New AI Religion
- The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence2022
- The Uneven Impact of Generative AI on Entrepreneurial Performance
- The Wicked Problem of AI and Assessment
- The Widespread Adoption of Large Language Model-Assisted Writing Across Society2025
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks2024
- There Are No Interesting Things; There Are Only Interested People
- Thinking—Fast, Slow, and Artificial: How AI is Reshaping Human Reasoning and the Rise of Cognitive Surrender
- Tiktok's enshittification
- TnT-LLM: Text Mining at Scale with Large Language Models2024
- Tracing the thoughts of a large language model
- Trust, attitudes and use of artificial intelligence: A global study 2025
- Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy2024
- Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier2024
- Understanding Reader Perception Shifts upon Disclosure of AI Authorship2025
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study2025
- Update: AI Overviews Reduce Clicks by 58%
- Using AI More Does Not Reassure Workers, Managers Do
- Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies2023
- Using LLMs to Discover Legal Factors2024
- UX Roundup (28 Sep 2026): Bogus Deskilling Research
- We Are All Creators: Generative AI, Collective Knowledge, and the Path Towards Human-AI Synergy2025
- We Wont be Missed: Work and Growth in the Era of AGI
- We'll Be Arguing for Years Whether Large Language Models Can Make New Scientific Discoveries
- Weak Links in LinkedIn: Enhancing Fake Profile Detection in the Age of LLMs2025
- What 81,000 people told us about the economics of AI
- What and Whose Knowledge? Measuring Epistemic Diversity in Large Language Models2025
- What does Generative UI mean for HCI Practice?
- What Does the Credential Still Certify? Cognitive Stewardship for AI-Mediated Education2026
- What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?2026
- What is mathematics now, and what should it be?2026
- What will be left for us to work on?
- When AI Becomes an Agent of the Firm: Examining the Evolution of AI in Organizations Through an Agency Theory Lens
- When Artificial Intelligence Does Strategy: Learning, Good Times, Lock-in, and Human-Driven Strategic Renewal
- When Does Automating AI Research Produce Explosive Growth? Feedback Loops in Innovation Networks
- When It Comes to AI: Think Inside the Box
- Who Delegates to AI? Evidence from Agent Configurations in Github2026
- Who's Asking AI About the 2026 Election?
- Who's in Charge? Disempowerment Patterns in Real-World LLM Usage2026
- Why Are There Still So Many Jobs? The History and Future of Workplace Automation
- Why Do Multi-agent LLM Systems Fail?
- why LLMs are bad writers but good editors
- Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis2026
- Will AI Solve Our Wicked Problems?
- Working with AI: Measuring the Occupational Implications of Generative AI2025
- Workplace Everyday-Creativity through a Highly-Conversational UI to Large Language Models
- Workslop: Examining the prevalence, antecedents and consequences of low-quality AI-generated content at work
- Your agent, whose interests?
- Your AI Is Not a Tool
- Your AI Strategy Advisor Is Giving Everyone the Same Advice
- Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task2025
- Your Programming Students' Cognition with ChatGPT: Higher Performance, Lower Retention, and Reduced Ownership2026
- Zapier Survey Finds Workers Spend 4.5 Hours Per Week Cleaning Up AI Mistakes
- “It Felt Like Having a Second Mind”: Investigating Human-AI Co-creativity in Prewriting with Large Language Models2023