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CleanScore: Black-Box Benchmark Audits with Negative Controls and Sensitivity Bounds

Opoku, Jeffery et al.
arXiv (All) · Papers
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68t50g-3i-2-6i-2-7machine-learningmethodology
Public benchmark scores may reflect skill, prior exposure to the questions, or both, and for most models the training data are unknown. We present CleanScore, a black-box audit using scored outputs only. Each benchmark question becomes a parent item with one public form and two independently written
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