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MLToolBench: Learning Tool-Augmented Agents for Machine Learning Development.

arXiv:2609.36679v2 Announce Type: replace Abstract: Machine learning engineering (MLE) agents have made substantial progress, but learning through ML experimentation remains costly in time and computation. Synthetic environments reduce these costs while introd

arXiv cs.AIResearch source·