视频大模型面对弹窗干扰时暴露“事件袋”式理解，这项研究揭示模型注意力机制的新缺陷
arXiv:2605.27101v1 Announce Type: cross Abstract: A key capability for video understanding is reliably linking subjects to events across time, yet whe…
无需额外训练，通过空间-时间池化与网格化巧妙提升视频大语言模型视觉token表征，ICLR 2026接收！
arXiv:2605.22078v1 Announce Type: cross Abstract: Recent advances in Multimodal Large Language Models (MLLMs) have significantly advanced video unders…
时间中心自进化框架，让视频大语言模型深度感知时序动态，性能飞跃
arXiv:2605.21931v1 Announce Type: new Abstract: Recent Video Large Language Models (Video-LLMs) have demonstrated strong capabilities in video reasoni…