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

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cs.LG2026

SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling

Yiqi Zhang, Huiqiang Jiang, Xufang Luo +7

Scaling reinforcement learning (RL) has shown strong promise for enhancing the reasoning abilities of large language models (LLMs), particularly in tasks requiring long chain-of-th…

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…