Papers citing 'FairDistillation: Mitigating Stereotyping in Language Models'

Title
Bias in Large Language Models: Origin, Evaluation, and Mitigation Yufei Guo Muzhe Guo Juntao Su Zhou Yang Mengqiu Zhu Hongfei Li Mengyang Qiu Shuo Shuo Liu AILaw 260 69 0 16 Nov 2024
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory Yongxin Deng Xihe Qiu Jue Chen Jing Pan Chen Jue Zhijun Fang Yinghui Xu Wei Chu Yuan Qi 168 3 0 20 Aug 2024
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas Chengyuan Deng Yiqun Duan Xin Jin Heng Chang Yijun Tian ... Kuofeng Gao Sihong He Jun Zhuang Lu Cheng Haohan Wang AILaw 198 28 0 08 Jun 2024
Beyond Behaviorist Representational Harms: A Plan for Measurement and MitigationConference on Fairness, Accountability and Transparency (FAccT), 2024 Jennifer Chien David Danks 225 29 0 25 Jan 2024
An investigation of structures responsible for gender bias in BERT and DistilBERTInternational Symposium on Intelligent Data Analysis (IDA), 2024 Thibaud Leteno Antoine Gourru Charlotte Laclau Christophe Gravier 140 7 0 12 Jan 2024
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 291 17 0 03 Dec 2023
Bias and Fairness in Large Language Models: A SurveyComputational Linguistics (CL), 2023 Isabel O. Gallegos Ryan Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 314 860 0 02 Sep 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 326 96 0 20 Aug 2023