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Author

Jie-Quan Cui

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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
Preprint Aug 2026

Disentangling 3D Modeling from Spatial Reasoning

This work proposes the Disentangled Spatial Reasoner (DiSR), a simple yet effective framework that reconstructs the physical world into structured 3D evidence using off-the-shelf expert perception models and fine-tunes an LLM with LoRA to perform reasoning solely over this explicit geometric evidence.

Haoze Sun, Jie-Quan Cui, Qingshan Xu et al. · 0 citations

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