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arXiv 2604.08880cs.LGcs.AIcs.CL

重新审视链式思维蒸馏中的容量差距:从实用角度出发

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

The University of Tokyo(东京大学);CyberAgent

Tokio Kajitsuka, Ukyo Honda, Sho Takase

AI总结:

本文从实用角度重新审视链式思维蒸馏中的容量差距问题,提出更现实的评估协议,发现容量差距影响并非在所有任务和设置中主导,尤其当候选教师性能差异显著时,为选择合适的教师-学生对提供实践指导。

摘要:

链式思维(CoT)蒸馏将推理行为从强教师转移到较小的学生,但先前工作报告了容量差距问题:当教师-学生能力不匹配较大时,蒸馏可能失败。我们从实用角度重新审视常用实验设置,发现CoT蒸馏通常比学生预蒸馏基线表现更差,这一问题在仅报告蒸馏后比较时被掩盖。因此,我们提出更现实的评估协议,并发现容量差距效应的影响并非在所有任务和设置中主导,尤其是在候选教师性能差异显著时。我们的结果为CoT蒸馏中选择教师-学生对提供了实践指导。

英文摘要:

Chain-of-thought (CoT) distillation transfers reasoning behaviors from a strong teacher to a smaller student, but prior work reports a capacity gap: distillation may fail when the teacher-student capability mismatch is large. We revisit the capacity gap from a practical perspective by re-examining commonly used experimental settings. Notably, we find that CoT distillation often degrades performance compared to the student's pre-distillation baseline, and that some settings used in prior work, while suitable for establishing the capacity gap as a phenomenon, do not reflect realistic deployment scenarios. Complementing prior work that establishes the capacity gap, we evaluate its practical impact under more realistic settings and find that it does not consistently dominate; stronger teachers tend to be preferable when candidate teachers differ substantially in performance. Our results offer practical guidance for selecting teacher-student pairs in CoT distillation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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