Author

Wen-Ce Ji

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Book Open access Nov 2026

Entropy Interventions Do Not Transfer: Why RLVR Entropy Control Misfires in On-Policy Distillation

Reinforcement learning with verifiable rewards (RLVR) controls policy entropy by reweighting tokens against an external scalar advantage. On-policy distillation (OPD) faces the same surface problem, a student that can sharpen too fast, but it replaces that advantage with a per-token teacher target. That shared symptom...

Xian-Kun Lin, Zhe-Zheng Hao, Li-Xin Liu et al. · 0 citations

Preprint Aug 2026

Matching Supervision to the Student's Learning Capacity: A Unified Framework for On-Policy Self-Distillation

Unified On-Policy Self-Distillation (USD), a lightweight online algorithm to solve the Lagrangian, reveals that a single dual variable governs both decisions: at one price for learning difficulty, it simultaneously sets the token-selection threshold and the direction of privileged-information adjustment, keeping superv...

Yongkang Yang, Zhezheng Hao, Hong Zhang et al. · 2 citations