4 papers
Privacy for Fairness: Information Obfuscation for Fair Representation Learning with Local Differential Privacy
Songjie Xie, Youlong Wu, Jiaxuan Li +2
As machine learning (ML) becomes more prevalent in human-centric applications, there is a growing emphasis on algorithmic fairness and privacy protection. While previous research h…
PACE: A Pragmatic Agent for Enhancing Communication Efficiency Using Large Language Models
Jiaxuan Li, Minxi Yang, Dahua Gao +2
Current communication technologies face limitations in terms of theoretical capacity, spectrum availability, and power resources. Pragmatic communication, leveraging terminal intel…
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Jiaxuan Li, Duc Minh Vo, Hideki Nakayama
Bias mitigation in image classification has been widely researched, and existing methods have yielded notable results. However, most of these methods implicitly assume that a given…
Counterfactual reasoning: Testing language models' understanding of hypothetical scenarios
Jiaxuan Li, Lang Yu, Allyson Ettinger
Current pre-trained language models have enabled remarkable improvements in downstream tasks, but it remains difficult to distinguish effects of statistical correlation from more s…