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#artificial intelligence Preprint Oct 2026

On-Policy Self-Distillation with Teacher Evolution

This paper proposes Teacher-Evolution Self-Distillation (TESD), which enables the self-teacher to generate rollouts and receive environmental feedback based on task correctness and context independence and performs teacher-oriented optimization to continuously enhance the model's self-teaching capability during distill...

Shu-Fan Shen, Zhong-Ni Hou, Chao Bi et al. · 0 citations

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