Author

Shi-Lei Wen

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Preprint Sep 2026

ThinkV2V: Unleashing the Reasoning Capability of MLLMs for Instruction-Guided Video Editing

Instruction-guided video editing has made significant progress, yet existing methods use multimodal large language models (MLLMs) primarily as semantic encoders, so they often fall short in working with implicit edits that require causal or semantic reasoning. To bridge this fundamental gap in video editing, we propose...

Dong-Hao Zhou, Hao-Yang He, Fan Zhang et al. · 0 citations

#artificial intelligence Aug 2025

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. · arXiv.org · 37 citations · ⚡7