AI RESEARCH
A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning
arXiv CS.CV
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ArXi:2603.14052v1 Announce Type: new This paper presents a multi-agent perception-action exploration alliance, dubbed A4VL, for efficient long-video reasoning. A4VL operates in a multi-round perception-action exploration loop with a selection of VLM agents. In each round, the team of agents performs video question-answer (VideoQA) via perception exploration followed by action exploration.