1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2026
A computable representation of the physical laboratory enables verifiable workflows
Xiaobo Li, Luyao Ge, Xiaohui Li +8
Making science computable requires representations of both scientific knowledge and the physical world in which scientific claims are tested. A computable representation of the phy…
cs.AI2026★ 1 cited
Stress-testing large language model agents in a robotic chemistry laboratory
Lulu Guo, Yingkai Sun, Xiaobo Li +13
AI is evaluated through knowledge, reasoning and plan generation, yet scientific agency requires reliable physical action and adaptation to evidence. Here, we use a robotic chemist…
cs.LG2025★ 1 cited
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy
Zhuo Yang, Jiaqing Xie, Shuaike Shen +13
Deep learning holds immense promise for spectroscopy, yet research and evaluation in this emerging field often lack standardized formulations. To address this issue, we introduce S…