Fork-Think with Confidence
Fork-think shifts LLM reasoning from 'think-first' to 'decide-first.' It identifies promising points for branching by finding tokens with low model confidence, then samples continuations. This saves up to 30% token cost and 57% run-time compared to parallel thinking, suggesting later forking is often better.