2024
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
Shan Chen, Jack Gallifant, Mingye Gao, Pedro José Ferreira Moreira, Nikolaj Munch, Ajay Muthukkumar +9
NeurIPS 2024poster
Large language models (LLMs) are increasingly essential in processing natural languages, yet their application is frequently compromised by biases and inaccuracies originating in their training data. In this study, we introduce \textbf{Cross-Care}, the first benchmark framework dedicated to assessin…