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Shi-Long Li

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#artificial intelligence Preprint Oct 2026

VideoLVR: Latent Visual Reasoning over Grounded Video Evidence

Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs). However, language-based reasoning traces do not provide a reliable mechanism for models to revisit relevant visual evidence, leading to visual forgetting and impairing their ability to reason over vide...

Shi-Long Li, Xing-Yuan Bu, Hao Shi et al. · 0 citations

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

The introduction of MM-BrowseComp, a novel benchmark comprising 400 challenging, hand-crafted questions designed to evaluate multimodal retrieval and reasoning capabilities, is introduced, establishing MM-BrowseComp as a rigorous new standard for the field.

Shilong Li, Xingyuan Bu, Wenjie Wang et al. · 37 citations · ⚡7

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