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James R. Foulds

2 accepted papers

2025

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models

ACL 2025long

Large Language Models (LLMs) are prone to generating content that exhibits gender biases, raising significant ethical concerns. Alignment, the process of fine-tuning LLMs to better align with desired behaviors, is recognized as an effective approach to mitigate gender biases. Although proprietary LL…

2020

Variational Bayes in Private Settings (VIPS) (Extended Abstract)

IJCAI 2020poster

Many applications of Bayesian data analysis involve sensitive information such as personal documents or medical records, motivating methods which ensure that privacy is protected. We introduce a general privacy-preserving framework for Variational Bayes (VB), a widely used optimization-based Bayesia…