Automating ML for science: testing how far frontier agents can improve scientific ML benchmarks with Agent4Sci across 20 benchmarks in 11 domains
Read the original at arxiv.org→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...
Original headline: "Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?"
Coverage timeline
- Oct 22, 04:00 UTC arXiv cs.AI lead source Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?