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arXiv 2610.14022 · cs.LG · 2026-09-29

OPMD: On-Policy Mechanism Distillation Beyond Output Supervision

Yingdong Shi, Zhihong Li, Changming Li, Jingyi Yu, Quan Li, Kan Ren

ShanghaiTech University

In latest · #393 Added on 2026-10-25

One-line takeaway

ShanghaiTech's OPMD extends on-policy distillation beyond outputs to transfer teacher intermediate computation, first building a student-compatible teacher whose intermediate states the student's downstream layers can actually use.

上科大的 OPMD 把在线策略蒸馏从只监督输出扩展到传递教师的中间计算:先构造学生能用的教师中间状态,解决表征几何不一致和不可用的问题。

11HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
26.9Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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