titleBeyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation
authorsShi-Yu Tian, Yong Liu, Ximan Liu, Tianrui Zhu, Sule Bai, Xinwei Yang, Ruiqi Liu, Kun-Yang Yu, Ming Yang, Zhi Zhou, Yu-Feng Li, Yipeng Sun, Gu Simiu
date2026-10-09
venuearXiv (preprint, not peer reviewed)
idarXiv:2610.13521
affiliationjingdong
upvotes73 (Hugging Face Daily Papers, 2026-11-01)
linksabs pdf hf code
abstractMulti-teacher on-policy distillation (MOPD) extends on-policy distillation (OPD) by routing domain-specific data to specialized teachers, integrating their capabilities through dense token-level supervision on student-generated trajectories. However, domain routing only distinguishes the supervision sources for different domains; updates from all domains still act on shared parameters. When teachers differ substantially in response style and domain expertise, supervision that is effective in isolation may still lead to persistent gradient conflicts and capability degradation during joint optimization. To address this challenge, we propose Cross-Teacher Guarding for MOPD (Road MOPD), which introduces non-routed teachers as auxiliary cross-domain critics on the same student trajectories and coordinates multi-teacher supervision through token-level credit assignment and gradient updates. Specifically, cross-teacher-guided credit assignment uses teacher agreement to strengthen token-level corrections jointly supported by the teachers and attenuate conflicting signals; preventive multi-teacher gradient projection uses auxiliary gradients from the same trajectories to constrain potentially conflicting updates and adaptively controls projection strength to retain target-domain learning signals. In experiments, Road MOPD mitigates degradation in the disadvantaged domain, gains over 5 percentage points under high conflict, and improves overall performance in low-conflict and three-domain settings.

cite

@misc{tian2026beyond,
  title={Beyond Domain-Routed Supervision: Cross-Teacher Guarding for Multi-Teacher On-Policy Distillation},
  author={Shi-Yu Tian and Yong Liu and Ximan Liu and Tianrui Zhu and Sule Bai and Xinwei Yang and Ruiqi Liu and Kun-Yang Yu and Ming Yang and Zhi Zhou and Yu-Feng Li and Yipeng Sun and Gu Simiu},
  year={2026},
  eprint={2610.13521},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2610.13521}
}