Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting

11 October 2021

Papers citing "Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting"

28 / 28 papers shown

Title
Mitigating Group-Level Fairness Disparities in Federated Visual Language Models Chaomeng Chen Zitong Yu J. Dong Sen Su L. Shen Shutao Xia Xiaochun Cao FedML VLM 137 0 0 03 May 2025
Exposing Product Bias in LLM Investment Recommendation Yuhan Zhi Xiaoyu Zhang Longtian Wang Shumin Jiang Shiqing Ma Xiaohong Guan Chao Shen 56 0 0 11 Mar 2025
Assumed Identities: Quantifying Gender Bias in Machine Translation of Ambiguous Occupational Terms Orfeas Menis-Mastromichalakis Giorgos Filandrianos M. Symeonaki Giorgos Stamou 60 0 0 06 Mar 2025
More of the Same: Persistent Representational Harms Under Increased Representation Jennifer Mickel Maria De-Arteaga Leqi Liu Kevin Tian 34 0 0 01 Mar 2025
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation Vera Neplenbroek Arianna Bisazza Raquel Fernández 100 0 0 17 Feb 2025
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 68 0 0 05 Dec 2024
Collapsed Language Models Promote Fairness Jingxuan Xu Wuyang Chen Linyi Li Yao Zhao Yunchao Wei 39 0 0 06 Oct 2024
Fairness in Large Language Models in Three Hours Thang Doan Viet Zichong Wang Minh Nhat Nguyen Wenbin Zhang 38 8 0 02 Aug 2024
From 'Showgirls' to 'Performers': Fine-tuning with Gender-inclusive Language for Bias Reduction in LLMs Marion Bartl Susan Leavy 35 8 0 05 Jul 2024
Fairness and Bias in Multimodal AI: A Survey Tosin P. Adewumi Lama Alkhaled Namrata Gurung G. V. Boven Irene Pagliai 48 9 0 27 Jun 2024
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models Tianci Liu Haoyu Wang Shiyang Wang Yu Cheng Jing Gao ALM 30 0 0 01 Jun 2024
Expert-Guided Extinction of Toxic Tokens for Debiased Generation Xueyao Sun Kaize Shi Haoran Tang Guandong Xu Qing Li MU 38 1 0 29 May 2024
Fairness in Large Language Models: A Taxonomic Survey Zhibo Chu Zichong Wang Wenbin Zhang AILaw 43 32 0 31 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 56 0 0 13 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
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes Isabel O. Gallegos Ryan A. Rossi Joe Barrow Md Mehrab Tanjim Tong Yu Hanieh Deilamsalehy Ruiyi Zhang Sungchul Kim Franck Dernoncourt 24 19 0 03 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
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 43 59 0 20 Aug 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning Zhenyi Wang Enneng Yang Li Shen Heng-Chiao Huang KELM MU 29 47 0 16 Jul 2023
Learning Horn Envelopes via Queries from Large Language Models Sophie Blum Raoul Koudijs Ana Ozaki Samia Touileb 16 1 0 20 May 2023
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions Rafal Kocielnik Sara Kangaslahti Shrimai Prabhumoye M. Hari R. Alvarez Anima Anandkumar 13 6 0 21 Nov 2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 40 11 0 10 Nov 2022
Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias Anoop Kadan Manjary P.Gangan Deepak P L. LajishV. AI4CE 27 10 0 21 Apr 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Shaden Smith M. Patwary Brandon Norick P. LeGresley Samyam Rajbhandari ... M. Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 55 730 0 28 Jan 2022
Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases Shrimai Prabhumoye Rafal Kocielnik M. Shoeybi Anima Anandkumar Bryan Catanzaro 27 20 0 15 Dec 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,844 0 18 Apr 2021
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 297 6,950 0 20 Apr 2018