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Chengsheng Zhang

2 accepted papers

2026

Interpreting and Enhancing Emotional Circuits in Large Vision-Language Models via Cross-Modal Information Flow

ICML 2026poster

Large Vision-Language Models (LVLMs) represent a significant leap towards empathetic agents, demonstrating remarkable capabilities in emotion understanding. However, the internal mechanisms governing how LVLMs translate abstract visual stimuli into coherent emotional narratives remain largely unexpl…

Cited by 0SourceScholar
2026

Prefill-Time Intervention for Mitigating Hallucination in Large Vision-Language Models

CVPR 2026

Large Vision-Language Models (LVLMs) have achieved remarkable progress in visual-textual understanding, yet their reliability is critically undermined by hallucinations, i.e., the generation of factually incorrect or inconsistent responses.While recent studies using steering vectors demonstrated pro

Cited by 0SourceScholar