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The paper "Beyond the Answer: Student-Conditioned Trace Construction for Reasoning Distillation" proposes the ReDiST framework for constructing reasoning traces that improve learning effectiveness in reasoning distillation.
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10/19/2026
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UnverifiedThrough student-conditioned construction and filtering, ReDiST offers a new approach to personalized reasoning distillation.77% similarUnverifiedReasoning distillation is a branch of knowledge distillation, referring to using reasoning processes generated by a large teacher model (rather than only the final answer) to train a smaller student model so that it acquires step-by-step reasoning ability.73% similarUnverifiedWhat relaxed verification mainly lengthens is precisely the reasoning traces of reasoning-type tasks.71% similarUnverifiedThe trace revision step of ReDiST starts from the student model's own drafts: for drafts with correct answers, the provided evidence is used to revise them so that their reasoning process is more rigorous; for drafts with wrong answers, the verified answer is used to provide additional guidance for repair.69% similar
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