Author

Zhen-Dong Mao

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Preprint Sep 2026

DSPO: Diversity-aware Subjective Policy Optimization for Robust Emotional Reasoning

Reinforcement Learning has significantly advanced the complex reasoning capabilities of MLLMs. However, prevailing RL algorithms suffer a severe failure in emotion reasoning tasks. These methods heavily rely on deterministic hard-label supervision and point-wise isolated evaluation, creating a fundamental gap with the...

C. Ye, Wei-Dong Chen, Bing-Yan Xu et al. · 0 citations

Preprint Sep 2026

Decoding Affective Nuances: Enhancing MLLMs via Hierarchical Emotion Reasoning and Contrastive Discriminative Pruning

While multimodal large language models (MLLMs) have demonstrated exceptional capabilities in objective understanding tasks, their performance in affective reasoning still falls significantly short of human standards. We attribute it to a central capability gap: MLLMs are difficult to reliably distinguish semantically p...

C. Ye, Wei-Dong Chen, Zhao-Bo Qi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation

UFO is proposed, the first unified framework for omni-condition alignment simultaneous evaluation, and UFO-Bench is presented, a dedicated benchmark designed to holistically evaluate the performance of existing customization models under the diverse mutual interactions of textual and visual conditions.

Dan-Ning Zhang, Yijing Lin, Shuhan Zhuang et al. · 0 citations