突破生成模型因果盲区，ARIA以因果感知框架重塑材料发现中的大模型推理，KDD 2026前沿成果。
arXiv:2606.22375v1 Announce Type: new Abstract: Generative models have revolutionized the process of materials discovery, yet they often fail to satis…
首个专为机器人操作评估世界模型物理一致性的基准，填补视觉真实与可执行性之间的鸿沟。
arXiv:2604.19092v2 Announce Type: replace-cross Abstract: Recent advances in large-scale video world models have enabled increasingly realistic future…
一种通过代码生成构建物理世界模型的智能体框架，利用规划、编码、视觉审查和物理分析代理迭代修正，确保模拟的物理真实性和指令符合度，首次从底层解决了视频世界模型“有形无实”的缺陷。
arXiv:2605.14398v1 Announce Type: new Abstract: World models have emerged as a powerful paradigm for building interactive simulation environments, wit…