Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval
Researchers have developed a new method called ToolMerge for retrieving keyframes from long videos, which is particularly useful for question-answering tasks. This approach utilizes a Large Language Model (LLM) to break down complex queries into smaller tool calls and then merges the results. The method was evaluated on a new benchmark called Molmo-2 Moments (M2M) and showed a 5% improvement in caption retrieval compared to existing techniques. AI
IMPACT Introduces a novel LLM-based approach for video keyframe retrieval, potentially improving AI's ability to understand and query long video content.