AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning, tool use, and verification. Scaling such agentic science remains difficult because workflows are hard to observe and reproduce, many scientific tools and laboratory systems are not agent-ready, and execution trac...
Lin-Feng Zhang, Si-Heng Chen, Yu-Zhu Cai et al.· AI Plus· 0 citations
ChatBEV-QA is introduced, a large-scale BEV VQA benchmark of 137K+ QA pairs, designed to evaluate global scene understanding, vehicle-lane interactions, and vehicle interactions within complex traffic environments.
Qing-Yao Xu, Ya Zhang, Yan-Feng Wang et al.· 6 citations
CUA-Universe is introduced, a scalable environment-to-data pipeline that turns real desktop software into hybrid GUI+CLI environments and training on this data shifts behavior from inefficient GUI interaction and brittle CLI scripting toward effective GUI+CLI orchestration.