AI RESEARCH
Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
arXiv CS.CL
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ArXi:2511.04570v2 Announce Type: replace-cross The "Thinking with Text" and "Thinking with Images" paradigms significantly improve the reasoning abilities of large language models (LLMs) and Vision-Language Models (VLMs). However, these paradigms have inherent limitations. (1) Images capture only single moments and fail to represent dynamic processes or continuous changes, and (2) The separation of text and vision as distinct modalities, which hinders unified multimodal understanding and generation.