Same Beliefs, Different Policies: Learning Reusable Representations for Early Stopping in LLM Reasoning

arXiv:2610.30450v1 Announce Type: new Abstract: Reasoning LLMs often continue reasoning after reaching a correct answer, wasting computation and sometimes replacing it with an incorrect one. Deciding when to stop is a metareasoning problem: the model must weigh what further reasoning could achieve a

arXiv cs.AIFreitag 06:00 · 23.10.1 Min. Lesezeit