Author

Bei-Er Zhu

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Preprint Sep 2026

Multi-Faceted Evaluation and Mitigation of Emotion Hallucinations in MLLMs

Multimodal large language models (MLLMs) have shown strong potential in open-ended emotion understanding, yet they often generate emotion hallucinations. Evaluating such hallucinations is particularly challenging for two reasons. First, emotion understanding spans multiple cognitive facets, from multimodal perception t...

Bo-Wen Zeng, Pei-Pei Song, Wei-Dong Chen et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Evolving Support Priorities in Empathetic Reinforcement Learning

We identify a fundamental mismatch in empathetic reinforcement learning: support priorities evolve with the dialogue state, yet existing methods typically optimize predefined reward specifications that remain fixed across turns. To model these evolving support priorities, we organize empathetic support along cognitive,...

Peng-Yu Huang, Zhi-Yuan Han, Wen-Wen Tong et al. · 0 citations

Preprint Jul 2026

Robustifying Vision-Language Models via Test-Time Prompt Adaptation

This work proposes RITA, a Robust test-tIme prompt-TAdaptation framework that shifts from sample-level estimates to distribution-level alignment, and employs optimal transport to align the distribution of augmented visual features with textual prototypes, mitigating adversarial outliers and rectifying cross-modal seman...

Xingyu Zhu, Huanshen Wu, Shuo Wang et al. · 1 citation