Watch, Remember, Reason: Human-View Video Understanding with MLLMs 事件

Watch, Remember, Reason: Human-View Video Understanding with MLLMs arXiv:2606.07433v1 Announce Type: new Abstract: Video understanding is being rapidly transformed by multimodal large language models (MLLMs), as research moves from short clips to long, multimodal, and knowledge-intensive video scenarios. These scenarios require models to handle sparse evidence, long-range dependencies, multimodal alignment, and reliable inference under limited computational budgets. This work presents a human-v