Balancing out Bias: Achieving Fairness Through Balanced Training

16 September 2021

Papers citing "Balancing out Bias: Achieving Fairness Through Balanced Training"

24 / 24 papers shown

Title
Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks Enze Shi Linglong Kong Bei Jiang FaML FedML 59 0 0 08 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
Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing Zeping Yu Sophia Ananiadou KELM 43 1 0 24 Jan 2025
An Active Learning Framework for Inclusive Generation by Large Language Models Sabit Hassan Anthony Sicilia Malihe Alikhani 25 1 0 17 Oct 2024
Active Learning for Robust and Representative LLM Generation in Safety-Critical Scenarios Sabit Hassan Anthony Sicilia Malihe Alikhani 26 2 0 14 Oct 2024
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge Maxwell J. Yin Boyu Wang Charles X. Ling 21 0 0 10 Aug 2024
The Mismeasure of Man and Models: Evaluating Allocational Harms in Large Language Models Hannah Chen Yangfeng Ji David E. Evans 30 0 0 02 Aug 2024
Balancing the Scales: Reinforcement Learning for Fair Classification Leon Eshuijs Shihan Wang Antske Fokkens FaML 30 0 0 15 Jul 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 16 0 08 Jun 2024
Unifying Bias and Unfairness in Information Retrieval: A Survey of Challenges and Opportunities with Large Language Models Sunhao Dai Chen Xu Shicheng Xu Liang Pang Zhenhua Dong Jun Xu 42 59 0 17 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David E. Evans 26 2 0 30 Mar 2024
Potential and Challenges of Model Editing for Social Debiasing Jianhao Yan Futing Wang Yafu Li Yue Zhang KELM 60 9 0 21 Feb 2024
A Note on Bias to Complete Jia Xu Mona Diab 41 2 0 18 Feb 2024
A Group Fairness Lens for Large Language Models Guanqun Bi Lei Shen Yuqiang Xie Yanan Cao Tiangang Zhu Xiao-feng He ALM 26 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 24 2 0 21 Nov 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 20 1 0 15 Sep 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 19 485 0 02 Sep 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 37 59 0 20 Aug 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 42 20 0 13 Jun 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 24 12 0 11 Feb 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 40 21 0 25 Nov 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 71 58 0 04 Oct 2022
Evaluating Debiasing Techniques for Intersectional Biases Shivashankar Subramanian Xudong Han Timothy Baldwin Trevor Cohn Lea Frermann 82 49 0 21 Sep 2021