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arXiv· arXiv:2606.03089· Ming Wen, Yuxuan Liu, Kun Yang, Yunhao Feng, Zhuoer Xu, Yuhao Sun, Shiwen Cui, Xiang Zheng, Yi Liu, Xingjun Ma, Yu-Gang Jiang·Indexed by this site · Originally published

COPSD: Constitution-Guided Online Policy Safety Distillation

Constitutional On-Policy Safe Distillation

AI summary

The researchers propose a constitutional online policy safety distillation method, COPSD, which first uses Cross-SFT cold-start to calibrate the teacher model, and then performs constitution-conditioned online policy distillation. This method targets the collapse of safety online policy self-distillation (OPSD): the authors find that constitutional conditioning causes the teacher distribution to shrink into brief and overly conservative responses. On 3 multimodal large language models and 12 safety and general benchmarks, the paper claims that COPSD improves both safety and helpfulness over baselines, and reduces the safety tax on general reasoning.

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