Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases

4 July 2023

Ying Wang

Papers citing "Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases"

20 / 20 papers shown

Title
Addressing Bias in Generative AI: Challenges and Research Opportunities in Information Management Xiahua Wei Naveen Kumar Han Zhang 59 3 0 22 Jan 2025
Speciesism in Natural Language Processing Research Masashi Takeshita Rafal Rzepka 11 1 0 18 Oct 2024
M3Hop-CoT: Misogynous Meme Identification with Multimodal Multi-hop Chain-of-Thought G. Kumari Kirtan Jain Asif Ekbal 16 1 0 11 Oct 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 33 14 0 08 Jun 2024
Expert-Guided Extinction of Toxic Tokens for Debiased Generation Xueyao Sun Kaize Shi Haoran Tang Guandong Xu Qing Li MU 25 1 0 29 May 2024
Large Language Model Bias Mitigation from the Perspective of Knowledge Editing Ruizhe Chen Yichen Li Zikai Xiao Zuo-Qiang Liu KELM 23 13 0 15 May 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Zeyu Han Chao Gao Jinyang Liu Jeff Zhang Sai Qian Zhang 127 301 0 21 Mar 2024
Potential and Challenges of Model Editing for Social Debiasing Jianhao Yan Futing Wang Yafu Li Yue Zhang KELM 47 9 0 21 Feb 2024
A Note on Bias to Complete Jia Xu Mona Diab 39 1 0 18 Feb 2024
Self-Supervised Position Debiasing for Large Language Models Zhongkun Liu Zheng Chen Mengqi Zhang Zhaochun Ren Pengjie Ren Zhumin Chen 26 1 0 02 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 21 11 0 03 Dec 2023
Co $^2$ PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning Xiangjue Dong Ziwei Zhu Zhuoer Wang Maria Teleki James Caverlee 23 11 0 19 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 14 478 0 02 Sep 2023
A Survey on Fairness in Large Language Models Yingji Li Mengnan Du Rui Song Xin Wang Ying Wang ALM 30 59 0 20 Aug 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path Vipul Gupta Pranav Narayanan Venkit Shomir Wilson R. Passonneau 23 17 0 13 Jun 2023
Conditional Supervised Contrastive Learning for Fair Text Classification Jianfeng Chi Will Shand Yaodong Yu Kai-Wei Chang Han Zhao Yuan Tian FaML 21 14 0 23 May 2022
Linear Adversarial Concept Erasure Shauli Ravfogel Michael Twiton Yoav Goldberg Ryan Cotterell KELM 65 56 0 28 Jan 2022
Contrastive Learning for Fair Representations Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 34 33 0 22 Sep 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 248 1,382 0 21 Jan 2020
Language Models as Knowledge Bases? Fabio Petroni Tim Rocktaschel Patrick Lewis A. Bakhtin Yuxiang Wu Alexander H. Miller Sebastian Riedel KELM AI4MH 393 2,216 0 03 Sep 2019