Author

Wang-Jie Gan

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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 Aug 2026

Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization

TASPO, which converts privileged supervision into outcome-grounded action credit, is introduced and indicates that TASPO reduces supervision mismatch and that action-level assignment stabilizes the policy optimization process.

Jing-Xiao Yang, Wang-Jie Gan, Ying-Xuan Zhuang et al. · 4 citations