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FairFil: Contrastive Neural Debiasing Method for Pretrained Text
  Encoders

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders

11 March 2021
Pengyu Cheng
Weituo Hao
Siyang Yuan
Shijing Si
Lawrence Carin
ArXivPDFHTML

Papers citing "FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders"

22 / 22 papers shown
Title
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
88
0
0
10 Mar 2025
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Bridging the Fairness Gap: Enhancing Pre-trained Models with LLM-Generated Sentences
Liu Yu
Ludie Guo
Ping Kuang
Fan Zhou
44
0
0
12 Jan 2025
Collapsed Language Models Promote Fairness
Collapsed Language Models Promote Fairness
Jingxuan Xu
Wuyang Chen
Linyi Li
Yao Zhao
Yunchao Wei
46
0
0
06 Oct 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
28
2
0
15 Feb 2024
ConFit: Improving Resume-Job Matching using Data Augmentation and
  Contrastive Learning
ConFit: Improving Resume-Job Matching using Data Augmentation and Contrastive Learning
Xiao Yu
Jinzhong Zhang
Zhou Yu
40
1
0
29 Jan 2024
FairMonitor: A Four-Stage Automatic Framework for Detecting Stereotypes
  and Biases in Large Language Models
FairMonitor: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models
Yanhong Bai
Jiabao Zhao
Jinxin Shi
Tingjiang Wei
Xingjiao Wu
Liangbo He
36
0
0
21 Aug 2023
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
52
59
0
20 Aug 2023
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language
  Models
Gender-tuning: Empowering Fine-tuning for Debiasing Pre-trained Language Models
Somayeh Ghanbarzadeh
Yan-ping Huang
Hamid Palangi
R. C. Moreno
Hamed Khanpour
34
12
0
20 Jul 2023
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A
  Two-Stage Approach to Mitigate Social Biases
Prompt Tuning Pushes Farther, Contrastive Learning Pulls Closer: A Two-Stage Approach to Mitigate Social Biases
Yingji Li
Mengnan Du
Xin Wang
Ying Wang
53
26
0
04 Jul 2023
An Empirical Analysis of Parameter-Efficient Methods for Debiasing
  Pre-Trained Language Models
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie
Thomas Lukasiewicz
26
12
0
06 Jun 2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in
  Multilingual Machine Translation
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Minwoo Lee
Hyukhun Koh
Kang-il Lee
Dongdong Zhang
Minsu Kim
Kyomin Jung
32
9
0
23 May 2023
Travel Demand Forecasting: A Fair AI Approach
Travel Demand Forecasting: A Fair AI Approach
Xiaojian Zhang
Qian Ke
Xilei Zhao
AI4TS
35
3
0
03 Mar 2023
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
40
0
0
12 Oct 2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Leveraging Causal Inference for Explainable Automatic Program Repair
Jianzong Wang
Shijing Si
Z. Zhu
Xiaoyang Qu
Zhenhou Hong
Jing Xiao
27
3
0
26 May 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
Conditional Supervised Contrastive Learning for Fair Text Classification
Jianfeng Chi
Will Shand
Yaodong Yu
Kai-Wei Chang
Han Zhao
Yuan Tian
FaML
46
14
0
23 May 2022
Modeling Techniques for Machine Learning Fairness: A Survey
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
30
36
0
04 Nov 2021
An Empirical Survey of the Effectiveness of Debiasing Techniques for
  Pre-trained Language Models
An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models
Nicholas Meade
Elinor Poole-Dayan
Siva Reddy
22
123
0
16 Oct 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
142
91
0
13 Sep 2021
Learning Debiased Representation via Disentangled Feature Augmentation
Learning Debiased Representation via Disentangled Feature Augmentation
Jungsoo Lee
Eungyeup Kim
Juyoung Lee
Jihyeon Janel Lee
Jaegul Choo
CML
17
148
0
03 Jul 2021
Fairness via Representation Neutralization
Fairness via Representation Neutralization
Mengnan Du
Subhabrata Mukherjee
Guanchu Wang
Ruixiang Tang
Ahmed Hassan Awadallah
Xia Hu
25
78
0
23 Jun 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
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
6,959
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
281
31,267
0
16 Jan 2013
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