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Self-Improvement with Auxiliary Rewards: Learning from Verified Traces and Evaluating Transfer
Answer-level rewards cannot distinguish reasoning traces with equally correct outcomes. We study whether auxiliary trajectory preferences improve small-language-model self-improvement and transfer under limited supervision. We compare confidence-based (SC) and entropy-based metrics (UID-Conj.), whic
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