新方法「潜在自强制」提升视频语言学习效率，无需逐帧解码即可对齐语义。
arXiv:2606.22870v1 Announce Type: cross Abstract: Recent advancements in chain-of-thought (CoT) reasoning have shown promise in enhancing video unders…
从稀疏横截面快照中学习个体动态演化的新方法，无需密集时间序列数据即可建模个体行为轨迹
arXiv:2605.23470v1 Announce Type: cross Abstract: Predicting how a dynamical unit evolves over time - how an individual ages, an epidemic spreads, or …
提出Time-Prompt方法，通过集成异构提示让大语言模型高效处理时间序列预测，效果显著。
arXiv:2506.17631v4 Announce Type: replace Abstract: Time series forecasting aims to model temporal dependencies among variables for future state infer…
用Transformer时序建模处理量子探测器数据，实现动态鬼成像的前沿方法
arXiv:2605.10185v2 Announce Type: replace Abstract: Ghost imaging reconstructs spatial information from a single-pixel bucket detector by correlating …