Author

Hou-Cheng Jiang

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Preprint Aug 2026

RePolicy: Reinforcement Learning for Safety-Policy Invocation in Agent Safeguards

Safeguarding language model agents requires assessing complete execution trajectories under context-dependent safety policies. Existing policy-aware safeguards mainly rely on prompting or supervised fine-tuning, limiting their ability to adapt to unseen trajectories and changing policy contexts. We propose RePolicy, an...

Hou-Cheng Jiang, Bo-Xuan Zhang, Qi-Yong Zhong et al. · 0 citations

#natural language process... Preprint Sep 2026

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

Multi-agent systems (MAS) split a task across specialized roles and are promising on complex tasks, yet a prevailing approach relies on inference-time orchestration alone. General-purpose APIs are costly and hard to customize, while small models with role prompts rarely develop stable role competence or reliable collab...

Qi-Yong Zhong, Mao Zheng, Ming-Yang Song et al. · 0 citations

#machine learning Preprint Sep 2026

Distill What You Trust: Reliability-Aware Multi-Teacher On-Policy Distillation

Multi-teacher on-policy distillation allows a student to learn from complementary specialists on its own trajectories. Domain-routed approaches, however, select one teacher per example and keep it fixed throughout the response. This design both depends on domain labels that mixed training corpora often lack and cannot...

Jie Sun, Mao Zheng, Ming-Yang Song et al. · 3 citations