Author

Kai Tang

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#artificial intelligence Preprint Sep 2026

Teacher-Student Gaps Are Not Enough: Outcome-Guided On-Policy Distillation for Multi-Turn Autonomous Agents

Outcome-Guided On-Policy Distillation is proposed, which applies trajectory-relative weighting to teacher supervision and calibrates these weights using final task outcomes from paired student continuations and selectively strengthens supervision on the student's original trajectories at turns where teacher guidance be...

Tong Zhang, Zhou Liu, Yi-Hao Liu et al. · 0 citations

#machine learning Preprint Sep 2026

DE-Venus: A Data-Efficient RLVR Framework for Large Language Models

DE-Venus is presented, a unified framework for data-efficient RLVR that treats supervision as evolving state across data preparation and policy optimization and reduces annotation and training costs without sacrificing scalable RL execution.

Shen-Zhi Yang, Guang-Cheng Zhu, Kai Tang et al. · 0 citations

Preprint Jul 2026

From Passive Retrieval to Active Memory Navigation: Learning to Use Memory as a Structured Action Space

NapMem is introduced, a framework for learning to use long-term user memory as a structured action space rather than passively retrieved context, and suggests that long-term user memory benefits from coupling structured storage with a learned policy for using memory at the appropriate granularity.

Yue Xu, Yutao Sun, Yihao Liu et al. · 3 citations