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…
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Published4 h ago (Thu, 22 Oct 2026 04:00:00 GMT)
RetrievedThu, 22 Oct 2026 05:00:25 GMT via rss
ClassifiedThu, 22 Oct 2026 05:00:30 GMT by heuristic
AuthorMing Zhong, Stacy Li, Nicholas Carlini, Matthew Jagielski