32 citations · 67 across the 16 of their papers we have counts for
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cs.CV2026
Segmentation before Answering: Pixel Grounding for MLLM Visual Reasoning
Yake Wei, Yuan Wang, Fengyun Rao +2
Recent advancements in Multimodal Large Language Models (MLLMs) have evolved from static perception to interleaved visual-language reasoning, often referred to as ``thinking with i…
cs.LG2026
Information-Theoretic Decomposition for Multimodal Interaction Learning
Zequn Yang, Yake Wei, Haotian Ni +2
Multimodal learning hinges on capturing redundant, unique, and synergistic information across modalities, which collectively constitute multimodal interactions. A critical yet unde…
cs.CV2026
MIBench: Evaluating LMMs on Multimodal Interaction
Yu Miao, Zequn Yang, Yake Wei +5
In different multimodal scenarios, it needs to integrate and utilize information across modalities in a specific way based on the demands of the task. Different integration ways be…