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Self-Debiasing Large Language Models: Zero-Shot Recognition and
  Reduction of Stereotypes

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes

3 February 2024
Isabel O. Gallegos
Ryan A. Rossi
Joe Barrow
Md Mehrab Tanjim
Tong Yu
Hanieh Deilamsalehy
Ruiyi Zhang
Sungchul Kim
Franck Dernoncourt
ArXivPDFHTML

Papers citing "Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes"

20 / 20 papers shown
Title
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language Models
Zhiting Fan
Ruizhe Chen
Zuozhu Liu
44
0
0
30 Apr 2025
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms
Chengkai Huang
Hongtao Huang
Tong Yu
Kaige Xie
Junda Wu
Shuai Zhang
Julian McAuley
Dietmar Jannach
Lina Yao
LRM
AI4CE
22
0
0
23 Apr 2025
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering
Y. Li
Zhiting Fan
Ruizhe Chen
Xiaotang Gai
Luqi Gong
Yan Zhang
Zuozhu Liu
LLMSV
27
1
0
20 Apr 2025
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
Suyoung Bae
YunSeok Choi
Jee-Hyong Lee
37
0
0
25 Mar 2025
Rethinking Prompt-based Debiasing in Large Language Models
Xinyi Yang
Runzhe Zhan
Derek F. Wong
Shu Yang
Junchao Wu
Lidia S. Chao
ALM
57
1
0
12 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
Beneath the Surface: How Large Language Models Reflect Hidden Bias
Beneath the Surface: How Large Language Models Reflect Hidden Bias
Jinhao Pan
Chahat Raj
Ziyu Yao
Ziwei Zhu
41
0
0
27 Feb 2025
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs
Angelina Wang
Michelle Phan
Daniel E. Ho
Sanmi Koyejo
43
2
0
04 Feb 2025
Different Bias Under Different Criteria: Assessing Bias in LLMs with a
  Fact-Based Approach
Different Bias Under Different Criteria: Assessing Bias in LLMs with a Fact-Based Approach
Changgeon Ko
Jisu Shin
Hoyun Song
Jeongyeon Seo
Jong C. Park
59
0
0
26 Nov 2024
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor
  Data
Unboxing Occupational Bias: Grounded Debiasing of LLMs with U.S. Labor Data
Atmika Gorti
Manas Gaur
Aman Chadha
20
2
0
20 Aug 2024
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement
  Learning
REFINE-LM: Mitigating Language Model Stereotypes via Reinforcement Learning
Rameez Qureshi
Naim Es-Sebbani
Luis Galárraga
Yvette Graham
Miguel Couceiro
Zied Bouraoui
21
1
0
18 Aug 2024
BiasDPO: Mitigating Bias in Language Models through Direct Preference
  Optimization
BiasDPO: Mitigating Bias in Language Models through Direct Preference Optimization
Ahmed Allam
38
8
0
18 Jul 2024
An Empirical Study of Gendered Stereotypes in Emotional Attributes for
  Bangla in Multilingual Large Language Models
An Empirical Study of Gendered Stereotypes in Emotional Attributes for Bangla in Multilingual Large Language Models
Jayanta Sadhu
Maneesha Rani Saha
Rifat Shahriyar
25
0
0
08 Jul 2024
Social Bias in Large Language Models For Bangla: An Empirical Study on
  Gender and Religious Bias
Social Bias in Large Language Models For Bangla: An Empirical Study on Gender and Religious Bias
Jayanta Sadhu
Maneesha Rani Saha
Rifat Shahriyar
25
3
0
03 Jul 2024
MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in
  Generative LLMs
MBBQ: A Dataset for Cross-Lingual Comparison of Stereotypes in Generative LLMs
Vera Neplenbroek
Arianna Bisazza
Raquel Fernández
29
6
0
11 Jun 2024
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
291
2,712
0
24 May 2022
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
210
364
0
15 Oct 2021
Generating Gender Augmented Data for NLP
Generating Gender Augmented Data for NLP
N. Jain
Maja Popovic
Declan Groves
Eva Vanmassenhove
26
15
0
13 Jul 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
257
374
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
138
0
23 Jan 2021
1