The paper derives budget-optimal rules for mixing cheap weak raters and expensive strong raters so that the mean rating is estimated with minimum variance, and shows large cost savings when example difficulty varies.
Prediction- powered ranking of large language models
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Cost-Optimal Active AI Model Evaluation
The paper derives budget-optimal rules for mixing cheap weak raters and expensive strong raters so that the mean rating is estimated with minimum variance, and shows large cost savings when example difficulty varies.