Author

Zhen-Zhen Hu

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#artificial intelligence Preprint Oct 2026

From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding

Recent multimodal large language models (MLLMs) increasingly incorporate explainable reasoning for emotion understanding. However, reasoning based mainly on observable affective cues can reduce emotion understanding to superficial cue-label associations, giving rise to the Clever Hans effect. Such shortcuts become unre...

Jia Li, Yi-Chao He, Yang-Chen Yu et al. · 0 citations

Jul 2026

Visual Token Compression Enhances Robustness of MLLMs

This paper shows for the first time that visual token pruning enhances the robustness of Multimodal Large Language Models (MLLMs), mitigating vulnerabilities such as jailbreak attacks and hallucinations, and maintains strong results on general datasets like MME.

Shishen Gu, Jie-Quan Cui, Wen-Bo Hu et al. · arXiv.org · 2 citations