A data selection method that replaces a clean holdout set with a zero-shot predictor plus peer prediction to pick training samples that reduce label bias and improve fairness.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Navigating Towards Fairness with Data Selection
A data selection method that replaces a clean holdout set with a zero-shot predictor plus peer prediction to pick training samples that reduce label bias and improve fairness.