On the Independence of Association Bias and Empirical Fairness in Language Models

20 April 2023

Papers citing "On the Independence of Association Bias and Empirical Fairness in Language Models"

22 / 22 papers shown

Title
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models Zhiting Fan Ruizhe Chen Zuozhu Liu 44 0 0 30 Apr 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 83 0 0 10 Mar 2025
How far can bias go? -- Tracing bias from pretraining data to alignment Marion Thaler Abdullatif Köksal Alina Leidinger Anna Korhonen Hinrich Schutze 69 0 0 28 Nov 2024
FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs Zhiting Fan Ruizhe Chen Tianxiang Hu Zuozhu Liu 21 7 0 25 Oct 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 25 1 0 17 Oct 2024
Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs Divyanshu Kumar Umang Jain Sahil Agarwal P. Harshangi 23 4 0 13 Oct 2024
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs Zhiting Fan Ruizhe Chen Ruiling Xu Zuozhu Liu KELM 16 15 0 14 Jul 2024
Why Don't Prompt-Based Fairness Metrics Correlate? A. Zayed Gonçalo Mordido Ioana Baldini Sarath Chandar ALM 39 4 0 09 Jun 2024
Exploring Subjectivity for more Human-Centric Assessment of Social Biases in Large Language Models Paula Akemi Aoyagui Sharon Ferguson Anastasia Kuzminykh 35 0 0 17 May 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 39 31 0 31 Mar 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David E. Evans 16 2 0 30 Mar 2024
Detecting Bias in Large Language Models: Fine-tuned KcBERT J. K. Lee T. M. Chung 24 0 0 16 Mar 2024
Fairness Certification for Natural Language Processing and Large Language Models Vincent Freiberger Erik Buchmann 26 2 0 02 Jan 2024
A Group Fairness Lens for Large Language Models Guanqun Bi Lei Shen Yuqiang Xie Yanan Cao Tiangang Zhu Xiao-feng He ALM 19 4 0 24 Dec 2023
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies Vithya Yogarajan Gillian Dobbie Te Taka Keegan R. Neuwirth ALM 37 11 0 03 Dec 2023
Fair Text Classification with Wasserstein Independence Thibaud Leteno Antoine Gourru Charlotte Laclau Rémi Emonet Christophe Gravier FaML 14 2 0 21 Nov 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models Laura Cabello Emanuele Bugliarello Stephanie Brandl Desmond Elliott 20 7 0 26 Oct 2023
On the Interplay between Fairness and Explainability Stephanie Brandl Emanuele Bugliarello Ilias Chalkidis FaML 12 4 0 25 Oct 2023
Factual and Personalized Recommendations using Language Models and Reinforcement Learning Jihwan Jeong Yinlam Chow Guy Tennenholtz Chih-Wei Hsu Azamat Tulepbergenov Mohammad Ghavamzadeh Craig Boutilier 18 4 0 09 Oct 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
Log-linear Guardedness and its Implications Shauli Ravfogel Yoav Goldberg Ryan Cotterell 23 2 0 18 Oct 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019