EvalCards is a composable reporting schema and monitoring tool for AI evaluations, derived from 52 papers and 10 interviews, and applied to 5,816 models and 101,843 results to surface reporting gaps.
Good practices for evaluation of machine learning systems, 2024
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Case study finds that fine-tuned ASR models outperform human listeners on Dutch dysarthric continuous speech from one speaker, lowering WER from over 70% to over 23%.
citing papers explorer
-
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting
EvalCards is a composable reporting schema and monitoring tool for AI evaluations, derived from 52 papers and 10 interviews, and applied to 5,816 models and 101,843 results to surface reporting gaps.
-
Comparing Human and Automatic Recognition of Dutch Dysarthric Continuous Speech: A Case Study
Case study finds that fine-tuned ASR models outperform human listeners on Dutch dysarthric continuous speech from one speaker, lowering WER from over 70% to over 23%.