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Acyr F. Locatelli

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#machine learning Preprint Sep 2026

Legibility is Not Interpretability: Comparing Judged and Actual Importance in Chain-Of-Thought Reasoning

This work operationalizes the importance of a reasoning step as its advantage: the change in expected reward, e.g., producing the correct final answer, from including that step, estimated via Monte Carlo rollouts, and evaluates whether LLM judges can identify high-advantage steps and finds that sufficiently capable LLM...

Kevin Du, A. Hoyle, L. Ruis et al. · 0 citations

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