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The Reproducibility Crisis: Why Your ML Accuracy Numbers Might Be Fiction
ML 모델 카드의 함정… ‘재현 불가능한’ 성능 지표를 바로잡을 해결책은?
Why it matters
Current machine learning benchmark reporting lacks the transparency needed for true reproducibility, making accuracy claims nearly impossible to verify. As regulations like the EU AI Act loom, the industry must transition from static model cards to verifiable audit trails to ensure technical accountability.
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ML BenchmarksHumanEvalEU AI ActReproducibilityPython