Fairness Definitions in Language Models Explained

26 July 2024

Wenbin Zhang

Papers citing "Fairness Definitions in Language Models Explained"

20 / 20 papers shown

Title
Digital Forensics in the Age of Large Language Models Zhipeng Yin Zichong Wang Weifeng Xu Jun Zhuang Pallab Mozumder Antoinette Smith Wenbin Zhang AILaw 45 1 0 03 Apr 2025
Fairness in Large Language Models in Three Hours Thang Doan Viet Zichong Wang Minh Nhat Nguyen Wenbin Zhang 38 8 0 02 Aug 2024
AI-Driven Healthcare: A Review on Ensuring Fairness and Mitigating Bias Sribala Vidyadhari Chinta Zichong Wang Xingyu Zhang Thang Doan Viet A. Kashif Monique Antoinette Smith Jun Liu W. Zhang 36 1 0 29 Jul 2024
FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications Sribala Vidyadhari Chinta Zichong Wang Zhipeng Yin Nhat Hoang Matthew Gonzalez Tai Le Quy Wenbin Zhang 34 20 0 26 Jul 2024
Fairness and Bias in Multimodal AI: A Survey Tosin P. Adewumi Lama Alkhaled Namrata Gurung G. V. Boven Irene Pagliai 50 9 0 27 Jun 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 43 32 0 31 Mar 2024
History, Development, and Principles of Large Language Models-An Introductory Survey Zhibo Chu Shiwen Ni Zichong Wang Xi Feng Min Yang Wenbin Zhang AILaw 38 22 0 10 Feb 2024
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 43 11 0 03 Dec 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 311 11,915 0 04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,656 0 15 Oct 2021
BBQ: A Hand-Built Bias Benchmark for Question Answering Alicia Parrish Angelica Chen Nikita Nangia Vishakh Padmakumar Jason Phang Jana Thompson Phu Mon Htut Sam Bowman 212 367 0 15 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens Saad Hassan Matt Huenerfauth Cecilia Ovesdotter Alm 43 38 0 01 Oct 2021
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 89 49 0 21 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT Jaimeen Ahn Alice H. Oh 133 91 0 13 Sep 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim Hyoungseok Kim Sang-Woo Lee Gichang Lee Donghyun Kwak ... Jaewook Kang Inho Kang Jung-Woo Ha W. Park Nako Sung VLM 246 121 0 10 Sep 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 100 228 0 21 Apr 2021
Transformer in Transformer Kai Han An Xiao Enhua Wu Jianyuan Guo Chunjing Xu Yunhe Wang ViT 284 1,524 0 27 Feb 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 243 488 0 31 Dec 2020
The Woman Worked as a Babysitter: On Biases in Language Generation Emily Sheng Kai-Wei Chang Premkumar Natarajan Nanyun Peng 208 616 0 03 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019