Author

Jie Sun

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Jul 2026

EasyOPD: An Easy-to-use On-Policy Distillation Framework for Large Language Models

Experiments on reasoning, code-generation, scientific-knowledge, scientific-knowledge, and tool-use benchmarks show that these implementations can be executed through the same verl-based backend while retaining their method-specific objectives and task-dependent performance profiles.

Jie Sun, Mao Zheng, Mingyang Song et al. · arXiv.org · 0 citations

#machine learning Preprint Aug 2026

Influence-Directed Distillation: Solving the Diversity Bottleneck in Sampled-Token On-Policy Distillation

Experiments show Influence-Directed Adaptive On-Policy Distillation (IDA-OPD), rather than relying on costly full-vocabulary Forward-KL objectives, preserves entropy-expanding updates while replacing entropy-contracting ones with divergence-adaptive advantage shrinkage, using only the teacher's sampled-token log-probability.

Run Yang, Runpeng Dai, Jie Sun et al. · 0 citations