AINeutralarXiv – CS AI · 8h ago7/10
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Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements
Researchers demonstrate that closed-loop automated machine learning systems can discover generalizable improvements in molecular property prediction by having language-model agents modify features, models, and acquire external evidence. Testing across 36 molecular endpoints reveals that while some improvements validate strongly, they don't consistently transfer to held-out test sets, highlighting critical challenges in ensuring reproducibility of AI-driven research discoveries.