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

> 全文为英语

**Published:** 2026年10月22日
**Author:** Ming Zhong, Stacy Li, Nicholas Carlini, Matthew Jagielski
**Source:** arXiv — cs.AI
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/automating-ml-for-science-can-frontier-agents-climb-scientific-hills-in

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…

> 内容来自原始来源： **arXiv — cs.AI**
> [在 arXiv — cs.AI 阅读全文](https://arxiv.org/abs/2610.28763)

**标签：** #Anthropic #arXiv #Hugging Face

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