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It's All in the Name: Mitigating Gender Bias with Name-Based
  Counterfactual Data Substitution
v1v2v3 (latest)

It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
2 September 2019
Rowan Hall Maudslay
Hila Gonen
Robert Bamler
Simone Teufel
ArXiv (abs)PDFHTML

Papers citing "It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Substitution"

50 / 106 papers shown
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AesBiasBench: Evaluating Bias and Alignment in Multimodal Language Models for Personalized Image Aesthetic Assessment
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Kun-Jhih Li
L. Po
Hongzheng Yang
Xuyuan Xu
Kangcheng Liu
Yuzhi Zhao
68
0
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15 Sep 2025
A Survey on Data Security in Large Language Models
A Survey on Data Security in Large Language Models
Kang Chen
Xiuze Zhou
Y. Lin
Jinhe Su
Yuanhui Yu
Li Shen
F. Lin
PILMELM
170
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04 Aug 2025
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of OpportunityACM Journal on Responsible Computing (JRC), 2025
Youjin Kong
FaML
177
0
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20 Jun 2025
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Yongbin Li
Zhiting Fan
Ruizhe Chen
Xiaotang Gai
Luqi Gong
Yan Zhang
Zuozhu Liu
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241
16
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20 Apr 2025
Name of Thrones: Evaluating How LLMs Rank Student Names, Race, and Gender in Status Hierarchies
Name of Thrones: Evaluating How LLMs Rank Student Names, Race, and Gender in Status Hierarchies
Annabella Sakunkoo
Jonathan Sakunkoo
46
0
0
15 Apr 2025
On the Mutual Influence of Gender and Occupation in LLM RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Haozhe An
Connor Baumler
Abhilasha Sancheti
Rachel Rudinger
AI4CE
226
2
0
09 Mar 2025
Bias in Large Language Models: Origin, Evaluation, and Mitigation
Yufei Guo
Muzhe Guo
Juntao Su
Zhou Yang
Mengqiu Zhu
Hongfei Li
Mengyang Qiu
Shuo Shuo Liu
AILaw
260
69
0
16 Nov 2024
Collapsed Language Models Promote Fairness
Collapsed Language Models Promote FairnessInternational Conference on Learning Representations (ICLR), 2024
Jingxuan Xu
Wuyang Chen
Linyi Li
Yao Zhao
Yunchao Wei
359
1
0
06 Oct 2024
On the Influence of Gender and Race in Romantic Relationship Prediction
  from Large Language Models
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Abhilasha Sancheti
Haozhe An
Rachel Rudinger
213
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05 Oct 2024
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Hila Gonen
Terra Blevins
Alisa Liu
Luke Zettlemoyer
Noah A. Smith
412
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12 Aug 2024
FairFlow: An Automated Approach to Model-based Counterfactual Data
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FairFlow: An Automated Approach to Model-based Counterfactual Data Augmentation For NLP
E. Tokpo
T. Calders
124
3
0
23 Jul 2024
Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in
  Large Language Models
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Zara Siddique
Liam D. Turner
Luis Espinosa-Anke
153
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09 Jul 2024
Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective
  Shifts in Vision-Language Models
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Joan Nwatu
Oana Ignat
Amélie Reymond
200
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Do Large Language Models Discriminate in Hiring Decisions on the Basis
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Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Haozhe An
Christabel Acquaye
Colin Wang
Zongxia Li
Rachel Rudinger
220
18
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15 Jun 2024
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
Shang Wang
Tianqing Zhu
B. Liu
Ming Ding
Dayong Ye
Dayong Ye
Wanlei Zhou
PILM
257
22
0
12 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
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198
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Stop! In the Name of Flaws: Disentangling Personal Names and
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Anne Lauscher
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200
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27 May 2024
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesInternational Conference on Computational Linguistics (COLING), 2024
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Yi Zhang
Geetanjali Bihani
Julia Taylor Rayz
340
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0
06 May 2024
Utilizing Adversarial Examples for Bias Mitigation and Accuracy
  Enhancement
Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
Pushkar Shukla
Dhruv Srikanth
Lee Cohen
Matthew Turk
AAML
193
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0
18 Apr 2024
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs
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402
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Measuring Bias in a Ranked List using Term-based Representations
Measuring Bias in a Ranked List using Term-based RepresentationsEuropean Conference on Information Retrieval (ECIR), 2024
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142
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Nick Koudas
158
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Securing Reliability: A Brief Overview on Enhancing In-Context Learning
  for Foundation Models
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Yunpeng Huang
Yaonan Gu
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Zhihong Zhu
Zhaorun Chen
Xiaoxing Ma
159
4
0
27 Feb 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
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Felix Friedrich
Katharina Hämmerl
P. Schramowski
Manuel Brack
Jindrich Libovický
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466
17
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29 Jan 2024
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language
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Tackling Bias in Pre-trained Language Models: Current Trends and
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291
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The Ethics of Automating Legal Actors
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189
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BERT Goes Off-Topic: Investigating the Domain Transfer Challenge using
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Serge Sharoff
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Model-based Counterfactual Generator for Gender Bias Mitigation
Model-based Counterfactual Generator for Gender Bias Mitigation
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On the Interplay between Fairness and Explainability
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Stephanie Brandl
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Learning from Red Teaming: Gender Bias Provocation and Mitigation in
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134
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Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
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Nichelle and Nancy: The Influence of Demographic Attributes and
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