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Author

Richang Hong

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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. · 2 citations

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