most citedStructured Attention Matters to Multimodal LLMs in Document Understanding

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cs.CV2026

Report of the 5th PVUW Challenge: Towards More Diverse Modalities in Pixel-Level Understanding

Chang Liu, Henghui Ding, Nikhila Ravi +40

This report summarizes the objectives, datasets, and top-performing methodologies of the 2026 Pixel-level Video Understanding in the Wild (PVUW) Challenge, hosted at CVPR 2026, whi…

cs.CV2026

Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification

Shuai Lv, Chang Liu, Feng Tang +5

Multimodal Large Language Models (MLLMs) achieve strong multimodal reasoning performance, yet we identify a recurring failure mode in long-form generation: as outputs grow longer,…