Video-HopChain: Multi-Hop Questions and Confidence-Gated Exploration for Video Reasoning Models

T1Covered by 1 source · first reported by arXiv at 24 Sept, 04:00 UTC

arXiv:2609.25773v1 Announce Type: cross Abstract: HopChain has shown on still images that multi-hop data synthesis improves vision-language reasoning, because long chain-of-thought reasoning exposes errors that compound across steps, while most data used for reinforcement learning with verifiable…

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• T1Video-HopChain: Multi-Hop Questions and Confidence-Gated Exploration for Video Reasoning ModelsarXiv24 Sept, 04:00