Author

Asher Qin

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#machine learning Preprint Sep 2026

Graph-Conditioned On-Policy Agent Distillation from Off-the-Shelf Teachers

On-policy distillation (OPD) trains compact language agents with teacher feedback on student-generated trajectories. In multi-turn tasks, compounding errors can move students beyond the teacher's effective supervision. We introduce Graph-Conditioned On-Policy Agent Distillation (GC-OPD), which enriches an off-the-shelf...

Xiao-Han Yi, Wen Luo, Ya-Ni Huang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

On-Policy Visual Evidence Distillation

Reflection on Visual Evidence (ReVuE), an on-policy distillation method for visual agents that translates trajectory-level evidence diagnosis into targeted token-level supervision, guiding students to improve their visual evidence acquisition and reasoning.

Shaohang Wei, Feifan Song, Guangyue Peng et al. · 0 citations