Author

Yu-Quan Lu

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#machine learning Preprint Sep 2026

Better Supervision Is Nearby: Neighborhood On-Policy Self-Distillation

On-policy self-distillation (OPSD) trains mathematical reasoning models using a privileged teacher that sees a reference solution and supervises student-sampled prefixes. Standard OPSD uses one fixed parameter setting at every state, but nearby settings may offer additional supervision. We find that local parameter per...

Xin Wei, Yi-Fan Ding, Yoshua Y. Li et al. · 0 citations

Jul 2026

SAF-OPD: Stable Advantage Fusion for On-Policy Distillation

SA is proposed, a Stable Advantage Fusion framework that avoids entropy collapse and consistently outperforms fixed-coefficient GRPO+OPD fusion, improving the aggregate score by 0.70% across all six model-domain settings while achieving more stable training.

Yifan Ding, Xin Wei, Yoshua Y. Li et al. · arXiv.org · 3 citations