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Исследования2026年10月22日

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…

Ming Zhong, Stacy Li, Nicholas Carlini, Matthew Jagielski·arXiv — cs.AI
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  • 01.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…

This material is provided as an extended analytical summary.

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