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Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents

Cai, Ziyang et al.
arXiv (All) · Papers
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machine-learning
Autoresearch agents tackle open-ended problems by repeatedly proposing candidate solutions, evaluating them, and using feedback to guide subsequent experiments. We show that independent runs of the same agent on the same task often plateau at substantially different scores, with gaps that persist ev
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