EvalCards: A Framework for Standardized Evaluation Reporting
November 05, 2025 ยท Declared Dead ยท ๐ arXiv.org
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Authors
Ruchira Dhar, Danae Sanchez Villegas, Antonia Karamolegkou, Alice Schiavone, Yifei Yuan, Xinyi Chen, Jiaang Li, Stella Frank, Laura De Grazia, Monorama Swain, Stephanie Brandl, Daniel Hershcovich, Anders Sรธgaard, Desmond Elliott
arXiv ID
2511.21695
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.CY
Citations
0
Venue
arXiv.org
Last Checked
6 months ago
Abstract
Evaluation has long been a central concern in NLP, and transparent reporting practices are more critical than ever in today's landscape of rapidly released open-access models. Drawing on a survey of recent work on evaluation and documentation, we identify three persistent shortcomings in current reporting practices: reproducibility, accessibility, and governance. We argue that existing standardization efforts remain insufficient and introduce Evaluation Disclosure Cards (EvalCards) as a path forward. EvalCards are designed to enhance transparency for both researchers and practitioners while providing a practical foundation to meet emerging governance requirements.
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