CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists 事件

CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists arXiv:2605.26029v1 Announce Type: cross Abstract: We introduce CausaLab, a scalable environment for evaluating interactive causal discovery by LLM agents. Unlike prior evaluations, CausaLab evaluates both whether an agent can solve a problem using causal evidence and whether its answer is supported by a correct hypothesis about the underlying causal mechanism. Each episode places an agent in a synthetic labor