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Yunlong Liang

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Preprint Nov 2026

Meet Students Where They Are: Student-Prefix Teacher Adaptation for On-Policy Distillation

On-policy distillation (OPD) mitigates the student's exposure bias by optimizing on student-generated trajectories. However, student-generated prefixes may contain reasoning errors or follow patterns unfamiliar to the teacher, undermining the reliability of its token-level supervision. This degradation becomes more pro...

Xue Zhang, Songming Zhang, Yun-Long Liang et al. · 0 citations
Preprint Aug 2026

Self-Improving Large Language Models via Progressive Experience Evolution

SPEE is a unified post-training framework that sequentially performs explicit experience evolution followed by implicit policy optimization, and demonstrates that SPEE consistently outperforms both test-time and training-time self-evolution baselines across three model scales.

Shijie Ren, Xiting Wang, Meng Li et al. · 2 citations

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