Peyman Vahidi
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2026
Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations
The paper introduces Croissant Tasks, a declarative metadata format designed to achieve conceptual reproducibility in machine learning by abstracting problem specifications from brittle implementation details.
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