COPSD
Project Page

Constitutional On-Policy Safe Distillation

Safer distillation. Less safety tax.

Ming Wen1,2,3,† Yuxuan Liu3,4,† Kun Yang3,4 Yunhao Feng3 Zhuoer Xu3 Yuhao Sun3 Shiwen Cui3 Xiang Zheng5 Guoyu Wang6 Xingjun Ma1,2,* Yu-Gang Jiang1,*
1 Institute of Trustworthy Embodied AI, Fudan University   |   2 Shanghai Innovation Institute   |   3 Ant Group   |   4 Zhejiang University   |   5 City University of Hong Kong   |   6 School of Philosophy, Fudan University
† Equal Contribution, * Corresponding authors

Why COPSD?

Augmented OPSD within Safety Boundaries eliminates geometric leakage to prevent response and entropy collapse.
Comprehensive 12-Benchmark Evaluation enables our 4B student model to surpass the 235B Oracle's safety performance.
Native VERL & vLLM Implementation provides a high-throughput, cluster-ready production pipeline with accelerated token rollouts.
Anti-Over-Refusal & Context-Aware Data mitigates hyper-conservatism through open-sourced multimodal splits that master subtle real-world environments.

Two Stages

Cross-SFT first calibrates the teacher. Then constitution-conditioned OPSD distills safer behavior without collapsing expressiveness.

Overview of the COPSD framework
Stage 1. Cross-SFT cold-start. Stage 2. Constitution-conditioned on-policy distillation.

Less Text, More Signal

BibTeX

Copy & cite
@article{wen2026copsd,
  title   = {Constitutional On-Policy Safe Distillation},
  author  = {Wen, Ming and Liu, Yuxuan and Yang, Kun and Feng, Yunhao and Xu, Zhuoer and Sun, Yuhao and Cui, Shiwen and Zheng, Xiang and Wang, Guoyu and Ma, Xingjun and Jiang, Yu-Gang},
  journal = {arXiv preprint arXiv:2606.03089},
  year    = {2026}
}