Theme of inquiry
How do prompt design and training approaches influence model reasoning?
A question within its area, explored through 1 line of inquiry below — each a family of specific questions the research asks.
132 specific questions
- Can prompting techniques reliably force models to enumerate hidden constraints?
- Can prompt optimization alone inject knowledge models don't already have?
- Can prompt engineering improve reasoning or only move requests into denser regions?
- How does prompt iteration reinforce user bias without empirical anchoring?
- Can prompt optimization inject new knowledge into language models?
- Why does prompting discover capabilities that need reward-driven refinement?
- Can users inject entirely new knowledge into models through prompting alone?