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Can Generalist Agents Automate Data Curation?

Kang, Feiyang et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitionemerging-technologiesmachine-learning
Curating training data is among the most consequential yet labor-intensive parts of modern AI development: practitioners iteratively propose, implement, evaluate, and revise data policies against noisy benchmark feedback. We ask whether generalist coding agents can automate this data-curation loop.
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