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 engineering. We introduce Agent

arXiv cs.AIDonnerstag 06:00 · 22.10.1 Min. Lesezeit