CoEvoWhen: Policy-Tool Coevolution for Ultra-Long Video Temporal Grounding
CoEvoWhen is a framework that jointly evolves high-level policies and executable media tools for ultra-long video grounding. It starts with a minimal skill and iteratively refines these components using experience from execution trajectories. This allows a frozen Vision-Language Model (VLM) to autonomously perform complex temporal reasoning by acquiring evidence efficiently without needing separate planning models.