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…
AI Summary & Key Takeaways
- 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…
Same Beliefs, Different Policies: Learning Reusable Representations for Early Stopping in LLM Reasoning
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