Author

Yu-Tong Chen

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Preprint Aug 2026

DualOPSD: Closing the Feedback Loop in On-Policy Self-Distillation

On-policy self-distillation (OPSD) combines student generated trajectories with dense supervision from a privileged teacher of the same model. Its pointwise clipping protects the student from locally incompatible teacher directions, but the fixed teacher receives no feedback about the supervision the student rejects, w...

Yu-Tong Chen, Guang-Fu Guo, Zhi-Chao Xu et al. · 2 citations · ⚡1

#machine learning Preprint Aug 2026

DualOPSD: Adaptive Privileged Teachers for On-Policy Self-Distillation

DualOPSD, an asymmetric alternating framework that adapts both policies, reduces truncation across all three scales, and makes later supervision responsive to the learner and does not require another rollout.

Yu-Tong Chen, Guang-Fu Guo, Zhi-Chao Xu et al. · 2 citations · ⚡1