AI RESEARCH
VGR: Visual Grounded Reasoning
arXiv CS.AI
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ArXi:2506.11991v3 Announce Type: replace-cross In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which inherently suffers from language bias and is largely confined to math or science domains. This narrow focus limits their ability to handle complex visual reasoning tasks that demand comprehensive understanding of image details. To address these limitations, this paper