arXiv
Language Models
Teaching LLMs to think before they prove: Why insight matters more than speed in math
It's the difference between a student who memorizes formulas (fast but brittle) and one who understands why a proof works (slower, but flexible enough for new problems).
This means the frontier for making LLMs useful at hard reasoning isn't just scaling up—it's teaching them to recognize the core trick before they dive into the details.
Bug reported: No