LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs 事件

LLM-AutoSciLab: Closed-Loop Scientific Discovery via Active Experimentation with LLMs arXiv:2605.24043v1 Announce Type: cross Abstract: Scientific discovery is a closed-loop process in which hypotheses guide data acquisition and observations refine the hypothesis space. Yet most approaches reduce discovery to supervised learning over fixed datasets, where limited observations can support multiple plausible mechanisms that fit locally but fail to generalize. Thus, the key challenge is selecting