AI RESEARCH
WAT: Online Video Understanding Needs Watching Before Thinking
arXiv CS.CV
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ArXi:2603.13412v1 Announce Type: new Multimodal Large Language Models (MLLMs) have shown strong capabilities in image understanding, motivating recent efforts to extend them to video reasoning. However, existing Video LLMs struggle in online streaming scenarios, where long temporal context must be preserved under strict memory constraints. We propose WAT (Watching Before Thinking), a two-stage framework for online video reasoning. WAT separates processing into a query-independent watching stage and a query-triggered thinking stage.