🧪 Test?View on arXiv
Automating ML for Science: Can Frontier Agents Climb Scientific Hills in the Wild?
Ming Zhong, Claude Opus, Codex, Agent4Sci, Research Team
ML for ScienceAutomated ResearchBenchmarkingAgent-based Systems
2610.28763
Builder Relevance
2h ago70%
Abstract
The paper introduces Agent4Sci, a testbed for evaluating the capabilities of frontier coding agents in improving scientific ML models.
Reality Card
Core Claim
Today's frontier agents can improve published best models on scientific ML benchmarks, with Claude Opus achieving a 10.4% mean relative improvement.
Method / Result
Claude Opus raised its performance from 10.4% to 20.1% through lightweight plug-in skills.
Limitations
The improvements are primarily due to ML-engineering tricks rather than genuine research-level insights.
Paper to code
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