VideoTreeSearch lets long-video agents backtrack and revise their search path
mohitban47 · x · 2026-07-24
This paper introduces VideoTreeSearch (VTS), a self-correcting agent framework for grounded long-video QA.
What it does
- Represents a long video as an adaptive temporal tree
- Lets the agent search, backtrack, and revise its path when evidence is weak
- Targets questions that require both answering and localizing the supporting interval
Why it matters
- The authors report strong gains on three grounded long-video QA benchmarks
- VTS also transfers to general long-video QA
- The example figure shows VTS finding the correct clue after earlier continuous-crop methods failed, illustrating the benefit of discrete tree-grounded actions
Related event: VideoTreeSearch Structures Long Videos for Accurate QA(2 posts)→
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