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Self-Improvement with Auxiliary Rewards: Learning from Verified Traces and Evaluating Transfer

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Summary

A study evaluates auxiliary trajectory preferences for small-language-model self-improvement, finding that UID-Conj. metrics improve performance on AIME problems.

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