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Sociodemographic Bias in Language Models: A Survey and Forward Path

Sociodemographic Bias in Language Models: A Survey and Forward Path

13 June 2023
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
ArXivPDFHTML

Papers citing "Sociodemographic Bias in Language Models: A Survey and Forward Path"

20 / 20 papers shown
Title
Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet
Berk Atil
Vipul Gupta
Sarkar Snigdha Sarathi Das
R. Passonneau
73
0
0
07 Feb 2025
Beemo: Benchmark of Expert-edited Machine-generated Outputs
Beemo: Benchmark of Expert-edited Machine-generated Outputs
Ekaterina Artemova
Jason Samuel Lucas
Saranya Venkatraman
Jooyoung Lee
Sergei Tilga
Adaku Uchendu
Vladislav Mikhailov
DeLMO
MoE
64
4
0
06 Nov 2024
A Predictive Factor Analysis of Social Biases and Task-Performance in
  Pretrained Masked Language Models
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Yi Zhou
Jose Camacho-Collados
Danushka Bollegala
76
6
0
19 Oct 2023
Semantic Consistency for Assuring Reliability of Large Language Models
Semantic Consistency for Assuring Reliability of Large Language Models
Harsh Raj
Vipul Gupta
Domenic Rosati
S. Majumdar
HILM
89
14
0
17 Aug 2023
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text
  Classification
How Far Can It Go?: On Intrinsic Gender Bias Mitigation for Text Classification
E. Tokpo
Pieter Delobelle
Bettina Berendt
T. Calders
27
6
0
30 Jan 2023
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
AAML
31
16
0
28 Oct 2022
Quantifying Social Biases Using Templates is Unreliable
Quantifying Social Biases Using Templates is Unreliable
P. Seshadri
Pouya Pezeshkpour
Sameer Singh
42
28
0
09 Oct 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
65
128
0
18 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
Socially Aware Bias Measurements for Hindi Language Representations
Socially Aware Bias Measurements for Hindi Language Representations
Vijit Malik
Sunipa Dev
A. Nishi
Nanyun Peng
Kai-Wei Chang
51
36
0
15 Oct 2021
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing
  Language Models
Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models
Robert Wolfe
Aylin Caliskan
82
51
0
01 Oct 2021
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in
  NLP Systems through an Intersectional Lens
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Saad Hassan
Matt Huenerfauth
Cecilia Ovesdotter Alm
36
38
0
01 Oct 2021
Evaluating Debiasing Techniques for Intersectional Biases
Evaluating Debiasing Techniques for Intersectional Biases
Shivashankar Subramanian
Xudong Han
Timothy Baldwin
Trevor Cohn
Lea Frermann
77
43
0
21 Sep 2021
Mitigating Language-Dependent Ethnic Bias in BERT
Mitigating Language-Dependent Ethnic Bias in BERT
Jaimeen Ahn
Alice H. Oh
120
90
0
13 Sep 2021
Assessing the Reliability of Word Embedding Gender Bias Measures
Assessing the Reliability of Word Embedding Gender Bias Measures
Yupei Du
Qixiang Fang
D. Nguyen
42
21
0
10 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More
  Accessible
Debiasing Methods in Natural Language Understanding Make Bias More Accessible
Michael J. Mendelson
Yonatan Belinkov
36
23
0
09 Sep 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
254
374
0
28 Feb 2021
It's Morphin' Time! Combating Linguistic Discrimination with
  Inflectional Perturbations
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations
Samson Tan
Shafiq R. Joty
Min-Yen Kan
R. Socher
144
103
0
09 May 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in
  Natural Language Inference
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
30
22
0
05 Mar 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
286
4,143
0
23 Aug 2019
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