Author

Cheng Tan

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#artificial intelligence Preprint Sep 2026

DEEPO: Dual-Entropy Enhanced Policy Optimization for Hallucination in MLLMs

Reinforcement learning (RL) is widely used to sharpen reasoning in multimodal large language models (MLLMs), yet its effect on hallucination is uneven. We trace this to two weak points in the \emph{correction chain} from reward to parameter update. At the rollout level, hard queries---those with high semantic entropy--...

Ying-Xuan Zhuang, Miao Pan, Wang-Jie Gan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Dual-Axis Policy Optimization for LLM Agents: Bayesian Feedback Attribution and Trajectory Mass Normalization

Reinforcement learning for LLM agents involves two distinct optimization di- mensions: how environment feedback is exploited within a trajectory, and how complete trajectories are aggregated across a batch. We formulate these dimen- sions as Intra-Trajectory Feedback Attribution and Inter-Trajectory Objec- tive Aggrega...

Ying-Xuan Zhuang, Bin-He Yu, Jing-Xiao Yang et al. · 1 citation