Author

J. Yan

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Preprint Aug 2026

TraceML: What Auto-Research Agents Miss in Long-Horizon ML Development

Auto-research agents now run machine-learning development unattended for hours, revising data pipelines, models, and validation from their own feedback, yet on most competitions they still finish below strong human competitors. Outcome-based benchmarks record this gap but not its cause, because they grade the final sub...

J. Yan, Weiwei Sun, Si-Jie Li et al. · 0 citations

#artificial intelligence Preprint Aug 2026

TraceML: An Empirical Analysis of Human-Agent Planning in Machine Learning Development

This work introduces TraceML, which pairs human and agent work on the same competitions under one version-level schema, and releases the corpus, the schema, the labelers, and the extraction pipeline at https://huggingface.co/datasets/jerryyan/TraceML.

J. Yan, Weiwei Sun, Si-Jie Li et al. · 0 citations