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The AI Scientist Generates its First Peer-Reviewed Scientific Publication

Sakana AI

The AI Scientist-v2, an AI system that autonomously generates research papers from hypothesis to final manuscript, produced a paper that passed peer review at an ICLR 2025 workshop with a score of 6.33, marking the first fully AI-generated paper to pass standard peer-review at a top-tier ML venue. The paper titled "Compositional Regularization: Unexpected Obstacles in Enhancing Neural Network Generalization" was one of three AI-generated submissions; one passed workshop review while two were rejected. The authors withdrew the accepted paper before publication and conducted this experiment with full cooperation from ICLR leadership and an institutional review board, establishing a precedent for how the scientific community should evaluate and integrate AI-generated research.

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