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Author

Yun-Zhe Qi

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#artificial intelligence Preprint Oct 2026

Proposing Better Rollouts for On-Policy Distillation

On-policy distillation (OPD) improves language-model post-training by letting the student learn from its own sampled trajectories under teacher supervision, aligning the training process with inference-time behavior. However, the rollout policy in OPD is usually treated as fixed: each round samples directly from the cu...

Si-Rui Chen, Yun-Zhe Qi, Hao-Bo Xu et al. · 0 citations
Book Open access Aug 2026

Generalizable Multi-Pass Training of Ads Recommendation Models with Foundation Model Guidance

This work proposes TeMPO, a principled framework for generalizable multi-pass training of recommendation models that leverages supervision from a teacher recommendation Foundation Model, and proposes a two-stage optimization strategy to stabilize multi-pass learning.

Yun-Zhe Qi, Qinghai Zhou, Bo-Yang Liu et al. · 0 citations

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