arXiv:2306.13005
공식 코드 · Papers with Code
A Discrimination Report Card
원문 초록
We develop an Empirical Bayes grading scheme that balances the informativeness of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the racial biases of 97 U.S. employers. A four-grade ranking limits the chances that a randomly selected pair of firms is mis-ranked to 5% while explaining nearly half of the variation in firms' racial contact gaps. The grades are presented alongside measures of uncertainty about each firm's contact gap in an accessible rubric that is easily adapted to other settings where ranks and levels are of simultaneous interest.
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Multi-Preference Lambda-weighted Listwise DPO for Dynamic Preference Alignment
CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
ERU-KG: Efficient Reference-aligned Unsupervised Keyphrase Generation
Power-Law Decay Loss for Large Language Model Finetuning: Focusing on Information Sparsity to Enhance Generation Quality
ICYM2I: The illusion of multimodal informativeness under missingness
Laplace Sample Information: Data Informativeness Through a Bayesian Lens
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