LEAP decouples evidence localization from reasoning by dividing long recordings into blocks and using a lightweight pass to score candidate windows. This allows the model to process hour-scale audio-visual content without exhausting context limits or diluting fine-grained evidence.
HOW THIS AFFECTS YOU
●
builderYou can build long-form video/audio QA systems that maintain high precision without massive context windows.
●
researcherThis addresses the context dilemma of temporal compression versus density.