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Junfeng Fang

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#natural language process... Preprint Sep 2026

MAS-OPD: On-Policy Distillation for Multi-agent Systems

MAS-OPD is presented, where Role-Advantage Specialization defines the role advantage as the difference between the teacher signals under target and non-target role conditions, and Privileged Attribution for Coordination attributes an interaction conflict to its source and supplies it to the teacher alone as privileged...

Qi-Yong Zhong, Mao Zheng, Ming-Yang Song et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors

The Alpha-Stabler framework is proposed, a plug-and-play framework with a Predictor that monitors principal-subspace intrusion for early collapse warnings, and a Controller that removes the principal-subspace component of activation gradients during backpropagation while preserving the orthogonal complement.

Yu-Chen Cai, Ding Cao, Qi-Xiang Yin et al. · 1 citation
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. · 0 citations

Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

Self-Evaluation Elicitation (SEE) is introduced, a method that surfaces a latent ability to predict how a judge will score its own output through a short cycle comprising a calibration-coupled reinforcement learning phase that improves the answer and predicts the judge, followed by a masked distillation phase that shar...

XiuYu Zhang, Yingyu Shan, Junfeng Fang et al. · 2 citations

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