FairDistillation: Mitigating Stereotyping in Language Models

10 July 2022

Papers citing "FairDistillation: Mitigating Stereotyping in Language Models"

9 / 9 papers shown

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 23 8 0 16 Nov 2024
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory Yongxin Deng Xihe Qiu Xiaoyu Tan Jing Pan Chen Jue Zhijun Fang Yinghui Xu Wei Chu Yuan Qi 20 1 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 38 14 0 08 Jun 2024
Beyond Behaviorist Representational Harms: A Plan for Measurement and Mitigation Jennifer Chien David Danks 23 13 0 25 Jan 2024
An investigation of structures responsible for gender bias in BERT and DistilBERT Thibaud Leteno Antoine Gourru Charlotte Laclau Christophe Gravier 25 4 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 31 11 0 03 Dec 2023
Bias and Fairness in Large Language Models: A Survey Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Sungchul Kim Franck Dernoncourt Tong Yu Ruiyi Zhang Nesreen Ahmed AILaw 16 478 0 02 Sep 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 35 59 0 20 Aug 2023
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018