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A Survey on Fairness in Large Language Models

A Survey on Fairness in Large Language Models

20 August 2023
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
    ALM
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Papers citing "A Survey on Fairness in Large Language Models"

50 / 55 papers shown
Title
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
Modular Machine Learning: An Indispensable Path towards New-Generation Large Language Models
X. Wang
Haoyang Li
Zeyang Zhang
H. Chen
Wenwu Zhu
LRM
77
0
0
28 Apr 2025
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
Orchestrating Agents and Data for Enterprise: A Blueprint Architecture for Compound AI
Eser Kandogan
Nikita Bhutani
Dan Zhang
Rafael Li Chen
Sairam Gurajada
Estevam R. Hruschka
AIFin
29
0
0
10 Apr 2025
The more the merrier: logical and multistage processors in credit scoring
The more the merrier: logical and multistage processors in credit scoring
Arturo Pérez-Peralta
Sandra Benítez-Peña
Rosa E. Lillo
FaML
66
0
0
31 Mar 2025
Fair Text Classification via Transferable Representations
Thibaud Leteno
Michael Perrot
Charlotte Laclau
Antoine Gourru
Christophe Gravier
FaML
78
0
0
10 Mar 2025
Rethinking LLM Bias Probing Using Lessons from the Social Sciences
Kirsten N. Morehouse
S. Swaroop
Weiwei Pan
38
0
0
28 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Erik Cambria
LM&MA
AILaw
65
148
0
28 Jan 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
23
8
0
16 Nov 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
Caleb J. S. Barr
Olivia Erdelyi
Paul D. Docherty
Randolph C. Grace
FaML
55
0
0
10 Nov 2024
Interpretable Language Modeling via Induction-head Ngram Models
Interpretable Language Modeling via Induction-head Ngram Models
Eunji Kim
Sriya Mantena
Weiwei Yang
Chandan Singh
Sungroh Yoon
Jianfeng Gao
36
0
0
31 Oct 2024
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
LabSafety Bench: Benchmarking LLMs on Safety Issues in Scientific Labs
Yujun Zhou
Jingdong Yang
Kehan Guo
Pin-Yu Chen
Tian Gao
...
Tian Gao
Werner Geyer
Nuno Moniz
Nitesh V Chawla
Xiangliang Zhang
31
4
0
18 Oct 2024
A Theoretical Survey on Foundation Models
A Theoretical Survey on Foundation Models
Shi Fu
Yuzhu Chen
Yingjie Wang
Dacheng Tao
16
0
0
15 Oct 2024
Investigating Implicit Bias in Large Language Models: A Large-Scale
  Study of Over 50 LLMs
Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
Divyanshu Kumar
Umang Jain
Sahil Agarwal
P. Harshangi
13
4
0
13 Oct 2024
Collapsed Language Models Promote Fairness
Collapsed Language Models Promote Fairness
Jingxuan Xu
Wuyang Chen
Linyi Li
Yao Zhao
Yunchao Wei
39
0
0
06 Oct 2024
Surveying the MLLM Landscape: A Meta-Review of Current Surveys
Surveying the MLLM Landscape: A Meta-Review of Current Surveys
Ming Li
Keyu Chen
Ziqian Bi
Ming Liu
Benji Peng
...
Jinlang Wang
Sen Zhang
X. Pan
Jiawei Xu
Pohsun Feng
OffRL
34
2
0
17 Sep 2024
Representation Bias in Political Sample Simulations with Large Language
  Models
Representation Bias in Political Sample Simulations with Large Language Models
Weihong Qi
Hanjia Lyu
Jiebo Luo
18
5
0
16 Jul 2024
Large Language Models for Wearable Sensor-Based Human Activity
  Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early
  Trends, Datasets, and Challenges
Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges
Emilio Ferrara
LM&MA
19
12
0
09 Jul 2024
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang
Peng Wang
Tong Zhou
Yushun Dong
Zhen Tan
Jundong Li
CoGe
41
6
0
02 Jul 2024
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
Ruinan Jin
Zikang Xu
Yuan Zhong
Qiongsong Yao
Qi Dou
S. Kevin Zhou
Xiaoxiao Li
VLM
19
9
0
01 Jul 2024
A Survey on Medical Large Language Models: Technology, Application,
  Trustworthiness, and Future Directions
A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions
Lei Liu
Xiaoyan Yang
Junchi Lei
Xiaoyang Liu
Yue Shen
...
Peng Wei
Jinjie Gu
Zhixuan Chu
Zhan Qin
Kui Ren
LM&MA
AILaw
21
14
0
06 Jun 2024
LIDAO: Towards Limited Interventions for Debiasing (Large) Language
  Models
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
Tianci Liu
Haoyu Wang
Shiyang Wang
Yu Cheng
Jing Gao
ALM
22
0
0
01 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language
  Models
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
Meftahul Ferdaus
Mahdi Abdelguerfi
Elias Ioup
Kendall N. Niles
Ken Pathak
Steve Sloan
24
10
0
01 Jun 2024
Expert-Guided Extinction of Toxic Tokens for Debiased Generation
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
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts
Minghao Wu
Jiahao Xu
Yulin Yuan
Gholamreza Haffari
Longyue Wang
Weihua Luo
Kaifu Zhang
LLMAG
111
22
0
20 May 2024
A survey on fairness of large language models in e-commerce: progress,
  application, and challenge
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren
Zilin Jiang
Jinghan Cao
Sijia Li
Chiqu Li
Yiyang Liu
Shuning Huo
Tiange He
Yuan Chen
AILaw
FaML
22
4
0
15 May 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
50
19
0
14 May 2024
Are Models Biased on Text without Gender-related Language?
Are Models Biased on Text without Gender-related Language?
Catarina G Belém
P. Seshadri
Yasaman Razeghi
Sameer Singh
27
8
0
01 May 2024
Bias patterns in the application of LLMs for clinical decision support:
  A comprehensive study
Bias patterns in the application of LLMs for clinical decision support: A comprehensive study
Raphael Poulain
Hamed Fayyaz
Rahmatollah Beheshti
21
15
0
23 Apr 2024
A Survey on the Memory Mechanism of Large Language Model based Agents
A Survey on the Memory Mechanism of Large Language Model based Agents
Zeyu Zhang
Xiaohe Bo
Chen Ma
Rui Li
Xu Chen
Quanyu Dai
Jieming Zhu
Zhenhua Dong
Ji-Rong Wen
LLMAG
KELM
27
59
0
21 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
24
6
0
12 Apr 2024
Fairness in Large Language Models: A Taxonomic Survey
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu
Zichong Wang
Wenbin Zhang
AILaw
27
5
0
31 Mar 2024
A Survey on Human-AI Teaming with Large Pre-Trained Models
A Survey on Human-AI Teaming with Large Pre-Trained Models
Vanshika Vats
Marzia Binta Nizam
Minghao Liu
Ziyuan Wang
Richard Ho
...
Celeste Shen
Rachel Shen
Nafisa Hussain
Kesav Ravichandran
James Davis
LM&MA
18
8
0
07 Mar 2024
Word Importance Explains How Prompts Affect Language Model Outputs
Word Importance Explains How Prompts Affect Language Model Outputs
Stefan Hackmann
Haniyeh Mahmoudian
Mark Steadman
Michael Schmidt
AAML
142
4
0
05 Mar 2024
Your Large Language Model is Secretly a Fairness Proponent and You
  Should Prompt it Like One
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One
Tianlin Li
Xiaoyu Zhang
Chao Du
Tianyu Pang
Qian Liu
Qing-Wu Guo
Chao Shen
Yang Liu
ALM
23
9
0
19 Feb 2024
Challenges in Mechanistically Interpreting Model Representations
Challenges in Mechanistically Interpreting Model Representations
Satvik Golechha
James Dao
22
3
0
06 Feb 2024
When Large Language Models Meet Vector Databases: A Survey
When Large Language Models Meet Vector Databases: A Survey
Zhi Jing
Yongye Su
Yikun Han
Bo Yuan
Haiyun Xu
Chunjiang Liu
Kehai Chen
Min Zhang
33
32
0
30 Jan 2024
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems
Michelle R. Greene
Mariam Josyula
Wentao Si
Jennifer A. Hart
19
0
0
23 Jan 2024
Unveiling Bias in Fairness Evaluations of Large Language Models: A
  Critical Literature Review of Music and Movie Recommendation Systems
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
Chandan Kumar Sah
Xiaoli Lian
Muhammad Mirajul Islam
16
7
0
08 Jan 2024
A Comprehensive Study of Knowledge Editing for Large Language Models
A Comprehensive Study of Knowledge Editing for Large Language Models
Ningyu Zhang
Yunzhi Yao
Bo Tian
Peng Wang
Shumin Deng
...
Lei Liang
Zhiqiang Zhang
Xiao-Jun Zhu
Jun Zhou
Huajun Chen
KELM
21
76
0
02 Jan 2024
Evaluating and Mitigating Discrimination in Language Model Decisions
Evaluating and Mitigating Discrimination in Language Model Decisions
Alex Tamkin
Amanda Askell
Liane Lovitt
Esin Durmus
Nicholas Joseph
Shauna Kravec
Karina Nguyen
Jared Kaplan
Deep Ganguli
19
66
0
06 Dec 2023
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
Shashank Gupta
Vaishnavi Shrivastava
A. Deshpande
A. Kalyan
Peter Clark
Ashish Sabharwal
Tushar Khot
105
49
0
08 Nov 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
13
3
0
17 Oct 2023
Explainability for Large Language Models: A Survey
Explainability for Large Language Models: A Survey
Haiyan Zhao
Hanjie Chen
Fan Yang
Ninghao Liu
Huiqi Deng
Hengyi Cai
Shuaiqiang Wang
Dawei Yin
Mengnan Du
LRM
17
324
0
02 Sep 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck
Varun Chandrasekaran
Ronen Eldan
J. Gehrke
Eric Horvitz
...
Scott M. Lundberg
Harsha Nori
Hamid Palangi
Marco Tulio Ribeiro
Yi Zhang
ELM
AI4MH
AI4CE
ALM
197
2,953
0
22 Mar 2023
Language Generation Models Can Cause Harm: So What Can We Do About It?
  An Actionable Survey
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey
Sachin Kumar
Vidhisha Balachandran
Lucille Njoo
Antonios Anastasopoulos
Yulia Tsvetkov
ELM
58
59
0
14 Oct 2022
Addressing Fairness Issues in Deep Learning-Based Medical Image
  Analysis: A Systematic Review
Addressing Fairness Issues in Deep Learning-Based Medical Image Analysis: A Systematic Review
Zikang Xu
Jun Li
Yongshuo Zong
Han Li
Qingsong Yao
S. Kevin Zhou
30
13
0
27 Sep 2022
"I'm sorry to hear that": Finding New Biases in Language Models with a
  Holistic Descriptor Dataset
"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset
Eric Michael Smith
Melissa Hall
Melanie Kambadur
Eleonora Presani
Adina Williams
59
128
0
18 May 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Linear Adversarial Concept Erasure
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
65
56
0
28 Jan 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
BBQ: A Hand-Built Bias Benchmark for Question Answering
BBQ: A Hand-Built Bias Benchmark for Question Answering
Alicia Parrish
Angelica Chen
Nikita Nangia
Vishakh Padmakumar
Jason Phang
Jana Thompson
Phu Mon Htut
Sam Bowman
202
364
0
15 Oct 2021
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