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2025arXiv

The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Yutaro Yamada, Robert Tjarko Lange, Cong Lu et al.

What this work does

Combines idea generation, progressive experiment-tree search, analysis and manuscript generation, with experiment management and visual feedback.

Connection to discovery

A system baseline for the complete research workflow and for collecting traces of experimental branching and reporting.

Evidence

The body describes separate investigation, tuning, agenda and ablation stages, and evaluates generated manuscripts through a workshop-review setting.

Scope and limitations

Peer-review acceptance and scientific validity are different measurements. The harness coordinates experiments, but this does not establish that the underlying model was trained to acquire a transferable discovery skill.

THE RESEARCH CONVERSATION

Discussion & reactions

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