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Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

Evaluating the Underlying Gender Bias in Contextualized Word Embeddings

18 April 2019
Christine Basta
Marta R. Costa-jussá
Noe Casas
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Papers citing "Evaluating the Underlying Gender Bias in Contextualized Word Embeddings"

38 / 38 papers shown
Title
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
Alessio Buscemi
Cedric Lothritz
Sergio Morales
Marcos Gomez-Vazquez
Robert Clarisó
Jordi Cabot
German Castignani
31
0
0
19 Apr 2025
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large
  Language Models in Tabular Classifications
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
Yanchen Liu
Srishti Gautam
Jiaqi Ma
Himabindu Lakkaraju
LMTD
24
11
0
23 Oct 2023
Identifying and Adapting Transformer-Components Responsible for Gender
  Bias in an English Language Model
Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model
Abhijith Chintam
Rahel Beloch
Willem H. Zuidema
Michael Hanna
Oskar van der Wal
28
16
0
19 Oct 2023
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts
Christina Chance
Da Yin
Dakuo Wang
Kai-Wei Chang
34
0
0
16 Oct 2023
Generative Social Choice
Generative Social Choice
Sara Fish
Paul Gölz
David C. Parkes
Ariel D. Procaccia
Gili Rusak
Itai Shapira
Manuel Wüthrich
33
26
0
03 Sep 2023
An Invariant Learning Characterization of Controlled Text Generation
An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
38
8
0
31 May 2023
Unsupervised Semantic Variation Prediction using the Distribution of
  Sibling Embeddings
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings
Taichi Aida
Danushka Bollegala
23
8
0
15 May 2023
ChatGPT and a New Academic Reality: Artificial Intelligence-Written
  Research Papers and the Ethics of the Large Language Models in Scholarly
  Publishing
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing
Brady Lund
Ting Wang
Nishith Reddy Mannuru
Bing Nie
S. Shimray
Ziang Wang
AI4CE
15
497
0
21 Mar 2023
The Capacity for Moral Self-Correction in Large Language Models
The Capacity for Moral Self-Correction in Large Language Models
Deep Ganguli
Amanda Askell
Nicholas Schiefer
Thomas I. Liao
Kamil.e Lukovsiut.e
...
Tom B. Brown
C. Olah
Jack Clark
Sam Bowman
Jared Kaplan
LRM
ReLM
45
159
0
15 Feb 2023
The effects of gender bias in word embeddings on depression prediction
The effects of gender bias in word embeddings on depression prediction
Gizem Sogancioglu
Heysem Kaya
26
3
0
15 Dec 2022
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
Human-in-the-Loop Hate Speech Classification in a Multilingual Context
Ana Kotarcic
Dominik Hangartner
Fabrizio Gilardi
Selina Kurer
K. Donnay
24
2
0
05 Dec 2022
Mind Your Bias: A Critical Review of Bias Detection Methods for
  Contextual Language Models
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
Silke Husse
Andreas Spitz
22
6
0
15 Nov 2022
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for
  Text Generation
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Tianxiang Sun
Junliang He
Xipeng Qiu
Xuanjing Huang
24
44
0
14 Oct 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
231
446
0
23 Aug 2022
Gender bias in (non)-contextual clinical word embeddings for
  stereotypical medical categories
Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories
Gizem Sogancioglu
Fabian Mijsters
Amar van Uden
Jelle Peperzak
27
3
0
02 Aug 2022
Toward Understanding Bias Correlations for Mitigation in NLP
Toward Understanding Bias Correlations for Mitigation in NLP
Lu Cheng
Suyu Ge
Huan Liu
36
8
0
24 May 2022
How Gender Debiasing Affects Internal Model Representations, and Why It
  Matters
How Gender Debiasing Affects Internal Model Representations, and Why It Matters
Hadas Orgad
Seraphina Goldfarb-Tarrant
Yonatan Belinkov
26
18
0
14 Apr 2022
Speciesist Language and Nonhuman Animal Bias in English Masked Language
  Models
Speciesist Language and Nonhuman Animal Bias in English Masked Language Models
Masashi Takeshita
Rafal Rzepka
K. Araki
26
6
0
10 Mar 2022
A study on the distribution of social biases in self-supervised learning
  visual models
A study on the distribution of social biases in self-supervised learning visual models
Kirill Sirotkin
Pablo Carballeira
Marcos Escudero-Viñolo
22
18
0
03 Mar 2022
Exploring the Limits of Domain-Adaptive Training for Detoxifying
  Large-Scale Language Models
Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models
Wei Ping
Ming-Yu Liu
Chaowei Xiao
P. Xu
M. Patwary
M. Shoeybi
Bo-wen Li
Anima Anandkumar
Bryan Catanzaro
25
64
0
08 Feb 2022
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models
Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models
Pieter Delobelle
E. Tokpo
T. Calders
Bettina Berendt
19
25
0
14 Dec 2021
Intersectional Bias in Causal Language Models
Intersectional Bias in Causal Language Models
Liam Magee
Lida Ghahremanlou
K. Soldatić
S. Robertson
191
31
0
16 Jul 2021
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of
  Conversational Language Models
RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Soumya Barikeri
Anne Lauscher
Ivan Vulić
Goran Glavas
45
178
0
07 Jun 2021
Modeling Ideological Salience and Framing in Polarized Online Groups
  with Graph Neural Networks and Structured Sparsity
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
Valentin Hofmann
Xiaowen Dong
J. Pierrehumbert
Hinrich Schütze
16
14
0
18 Apr 2021
Gender Bias in Multilingual Neural Machine Translation: The Architecture
  Matters
Gender Bias in Multilingual Neural Machine Translation: The Architecture Matters
Marta R. Costa-jussá
Carlos Escolano
Christine Basta
Javier Ferrando
Roser Batlle-Roca
Ksenia Kharitonova
19
18
0
24 Dec 2020
Cross-Loss Influence Functions to Explain Deep Network Representations
Cross-Loss Influence Functions to Explain Deep Network Representations
Andrew Silva
Rohit Chopra
Matthew C. Gombolay
TDI
21
15
0
03 Dec 2020
Image Representations Learned With Unsupervised Pre-Training Contain
  Human-like Biases
Image Representations Learned With Unsupervised Pre-Training Contain Human-like Biases
Ryan Steed
Aylin Caliskan
SSL
24
156
0
28 Oct 2020
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender
  Bias
Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias
Marion Bartl
Malvina Nissim
Albert Gatt
22
123
0
27 Oct 2020
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language
  Models
RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models
Samuel Gehman
Suchin Gururangan
Maarten Sap
Yejin Choi
Noah A. Smith
37
1,130
0
24 Sep 2020
Investigating Gender Bias in BERT
Investigating Gender Bias in BERT
Rishabh Bhardwaj
Navonil Majumder
Soujanya Poria
33
106
0
10 Sep 2020
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation
Tianlu Wang
Xi Lin
Nazneen Rajani
Bryan McCann
Vicente Ordonez
Caimng Xiong
CVBM
157
54
0
03 May 2020
Multi-Dimensional Gender Bias Classification
Multi-Dimensional Gender Bias Classification
Emily Dinan
Angela Fan
Ledell Yu Wu
Jason Weston
Douwe Kiela
Adina Williams
FaML
19
122
0
01 May 2020
Beneath the Tip of the Iceberg: Current Challenges and New Directions in
  Sentiment Analysis Research
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria
Devamanyu Hazarika
Navonil Majumder
Rada Mihalcea
42
207
0
01 May 2020
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual
  Corpus of Wikipedia Biographies
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
Marta R. Costa-jussá
P. Lin
C. España-Bonet
SyDa
23
24
0
10 Dec 2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
27
205
0
10 Nov 2019
Assessing Social and Intersectional Biases in Contextualized Word
  Representations
Assessing Social and Intersectional Biases in Contextualized Word Representations
Y. Tan
Elisa Celis
FaML
21
223
0
04 Nov 2019
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in
  Sentiment Analysis
Good Secretaries, Bad Truck Drivers? Occupational Gender Stereotypes in Sentiment Analysis
J. Bhaskaran
Isha Bhallamudi
24
46
0
24 Jun 2019
Measuring Bias in Contextualized Word Representations
Measuring Bias in Contextualized Word Representations
Keita Kurita
Nidhi Vyas
Ayush Pareek
A. Black
Yulia Tsvetkov
63
445
0
18 Jun 2019
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