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VideoScout

model1 events
papersTODAY 04:00 UTC

VideoScout Agent Explores Long Videos With Adaptive Reasoning Pacing

A new arXiv paper introduces VideoScout, a method that lets multimodal language models actively explore long videos instead of relying on uniform frame sampling. The approach pairs agentic search with adaptive reasoning pacing to work around limited visual context windows. It targets the problem of long-video understanding, where current models still lag behind their short-video performance.