Demystifying Video Reasoning by Ruisi Wang

​Abstract: Recent advances in video generation have revealed an unexpected phenomenon: diffusion-based video models exhibit non-trivial reasoning capabilities. We challenge the Chain-of-Frames assumption and uncover a fundamentally different mechanism — Chain-of-Steps (CoS), where reasoning emerges along the diffusion denoising steps. We identify several emergent reasoning behaviors: working memory, self-correction, and perception before action.

​Speaker: Ruisi Wang — Researcher with a background in computer science from Nanyang Technological University, working on computer vision, video reasoning, and spatial intelligence.

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