An agentic video-reasoning framework, VITAL, uses tool-based frame sampling, multimodal chain-of-thought, new datasets, and a difficulty-aware RL algorithm to improve long-video QA and temporal grounding.
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Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning
An agentic video-reasoning framework, VITAL, uses tool-based frame sampling, multimodal chain-of-thought, new datasets, and a difficulty-aware RL algorithm to improve long-video QA and temporal grounding.