Author

Chaonan Ye

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

PreSO: Privileged Representation Isolation for On-Policy Self-Distillation

On-policy self-distillation (OPSD) uses a self-teacher conditioned on privileged information to turn the sparse outcome signal of reinforcement learning with verifiable rewards (RLVR) into dense token-level supervision. Yet the teacher's advantage may depend on information unavailable to the student at inference, raisi...

Yu-Hang Yang, Ming-Xuan Xia, Chao-Nan Ye et al. · 0 citations

#artificial intelligence Jul 2026

Enhancing Rubric-based RL via Self-Distillation

Criterion-Distilled Policy Optimization (CriPO), which enhances rubric-based RL via on-policy self-distillation via on-policy self-distillation, to simultaneously address both unexplored and suppressed criteria.

Mingxuan Xia, Yuhang Yang, Chaonan Ye et al. · arXiv.org · 3 citations · ⚡2