arXiv 2610.28763 · cs.AI · 2026-10-20
Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?
Ming Zhong, Stacy Li, Nicholas Carlini, Matthew Jagielski
Anthropic
在最新榜 #265 本站收录于 2026-10-25
一句话要点
Anthropic 的 Agent4Sci 用 20 个基准、11 个领域测前沿编程 agent 能否刷新科学 ML 最佳模型：每项都超过了已发表最好结果，Claude Opus 平均相对提升 10.4%，但收益几乎全靠工程技巧而非科研洞见。
Anthropic's Agent4Sci tests whether frontier coding agents can beat published best models on 20 scientific-ML benchmarks across 11 domains; they beat every one (Claude Opus +10.4% mean relative), but mostly via ML-engineering tricks rather than research insight.
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
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