arXiv Paper Proposes World Models to Scale Automatic Research Agents

A new arXiv preprint examines how automatic research agents, which use large language models to write code and iterate on experiments, can be scaled further. The authors propose incorporating world models so these agents can better predict and plan within their research environments. The work targets the long-standing goal of automating empirical research end to end.