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arXiv — cs.AI

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Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?

arXiv:2610.28763v1 Announce Type: new Abstract: Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often requires domain insight beyond routine ML…

arXiv — cs.AIBy: Ming Zhong, Stacy Li, Nicholas Carlini, Matthew JagielskiOctober 22, 2026 (11 hours ago)
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  • arXiv:2610.28763v1 Announce Type: new Abstract: Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often requires domain insight beyond routine ML…
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Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?

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