Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective
arXiv cs.LG / 4/13/2026
💬 OpinionIdeas & Deep AnalysisModels & Research
Key Points
- The paper revisits the previously reported “capacity gap” problem in chain-of-thought (CoT) distillation, focusing on how capability mismatch between teacher and student affects distillation outcomes in practice.
- It finds that CoT distillation can frequently degrade performance relative to the student’s pre-distillation baseline, and that this degradation is often hidden when studies only report post-distillation comparisons.
- The authors propose a more realistic evaluation protocol to better capture baseline regression and to make capacity-gap effects more observable.
- They conclude that capacity-gap impacts do not uniformly dominate across all tasks/settings and can be mitigated or modulated, particularly when candidate teachers differ substantially in performance.
- The work provides practical guidance for selecting teacher–student pairs for more reliable CoT distillation results.
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