Area of inquiry
How do architecture and constraints shape model reasoning?
One of the field's big questions. It gathers the themes below — all questions the research asks, not subjects it is about. (For subjects, browse Topics.)
Themes within this area 5
Each theme is a narrower question. Follow one down toward its lines of inquiry.
- What determines model reasoning capability at inference and training time?
- Why do model reasoning limitations persist despite increased capability?
- How can systems understand user intent despite frequency bias?
- How do architectural decisions and system constraints affect LLM agent performance?
- How should retrieval systems combine and rank diverse sources?