AI RESEARCH
Croissant Tasks: A Metadata Format for Reproducible Machine Learning Evaluations
arXiv CS.AI
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ArXi:2605.29786v1 Announce Type: new Reproducibility is fundamental to the scientific method, yet remains a critical challenge in machine learning. Contributing factors include underspecified execution details and brittle software environments. Human-centric remedies, such as checklists and manual verification, help but require intensive effort and fail to scale. To address this, we