Author

Wei-Ming Liu

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Conference Open access Sep 2026

BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributes

Achieving fairness in machine learning models while maintaining high accuracy is an important but complex task, especially when handling multiple sensitive attributes. Traditional fairness methods often struggle to eliminate bias within subgroups divided by sensitive attributes. Several key challenges have been identif...

Heng-Yu Yue, Fan Wang, Wei-Ming Liu et al. · Proceedings of the Thirty-Fi... · 0 citations

#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