most citedMitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key

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cs.LG2026

DASH-OPD: Discrepancy-Aware Switching with Hysteresis for On-Policy Distillation

Yuchen Xia, Qianguo Sun, Chao Song +3

While on-policy distillation (OPD) reduces exposure bias by training student language models on their own rollouts, early student errors in long-horizon agentic scenarios can lead…

cs.LG2025

ADG: Ambient Diffusion-Guided Dataset Recovery for Corruption-Robust Offline Reinforcement Learning

Zeyuan Liu, Zhihe Yang, Jiawei Xu +5

Real-world datasets collected from sensors or human inputs are prone to noise and errors, posing significant challenges for applying offline reinforcement learning (RL). While exis…