Pause and Think: A Dataset and Benchmark for Video-Grounded Assistive Action Suggestion

Shivam Singh, Saptarshi Majumder, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum

Jun 5, 2026 at 04:00

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arXiv:2606.00616v2 Announce Type: replace-cross Abstract: Recent Vision-Language Models (VLMs) struggle with grounded reasoning, temporal consistency, and context aware planning in videos. We introduce pause-and-think-T, a reasoning-centric training dataset that encourages models to pause, reason over visual evidence, and produce concise,...

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