Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation
Researchers propose prediction-powered smoothing (PP-S/PP-TS), Bayesian small-area estimators that improve disaggregated AI evaluation accuracy and validation.
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Researchers propose prediction-powered smoothing (PP-S/PP-TS), Bayesian small-area estimators that improve disaggregated AI evaluation accuracy and validation.
Paper proposes prediction-powered smoothing (PP-S/PP-TS) and a design-based cross-validation score to improve disaggregated AI evaluation estimates when labeled data is scarce.
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