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Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

18 May 2023
Chantal Amrhein
Florian Schottmann
Rico Sennrich
Samuel Laubli
ArXivPDFHTML

Papers citing "Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model"

15 / 15 papers shown
Title
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine
  Translation with a Human-centered Study
What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Beatrice Savoldi
Sara Papi
Matteo Negri
Ana Guerberof
L. Bentivogli
52
7
0
01 Oct 2024
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in
  German Text Classification
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification
Andreas Waldis
Joel Birrer
Anne Lauscher
Iryna Gurevych
41
1
0
26 Sep 2024
Fairness in Large Language Models: A Taxonomic Survey
Fairness in Large Language Models: A Taxonomic Survey
Zhibo Chu
Zichong Wang
Wenbin Zhang
AILaw
48
33
0
31 Mar 2024
Disclosure and Mitigation of Gender Bias in LLMs
Disclosure and Mitigation of Gender Bias in LLMs
Xiangjue Dong
Yibo Wang
Philip S. Yu
James Caverlee
4
30
0
17 Feb 2024
A Prompt Response to the Demand for Automatic Gender-Neutral Translation
A Prompt Response to the Demand for Automatic Gender-Neutral Translation
Beatrice Savoldi
Andrea Piergentili
Dennis Fucci
Matteo Negri
L. Bentivogli
40
12
0
08 Feb 2024
Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies
Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies
Vithya Yogarajan
Gillian Dobbie
Te Taka Keegan
R. Neuwirth
ALM
54
11
0
03 Dec 2023
Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and
  INES
Test Suites Task: Evaluation of Gender Fairness in MT with MuST-SHE and INES
Beatrice Savoldi
Marco Gaido
Matteo Negri
L. Bentivogli
27
11
0
30 Oct 2023
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation
  with the GeNTE Corpus
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus
Andrea Piergentili
Beatrice Savoldi
Dennis Fucci
Matteo Negri
L. Bentivogli
32
19
0
08 Oct 2023
Bias and Fairness in Large Language Models: A Survey
Bias and Fairness in Large Language Models: A Survey
Isabel O. Gallegos
Ryan A. Rossi
Joe Barrow
Md Mehrab Tanjim
Sungchul Kim
Franck Dernoncourt
Tong Yu
Ruiyi Zhang
Nesreen Ahmed
AILaw
40
498
0
02 Sep 2023
A Survey on Fairness in Large Language Models
A Survey on Fairness in Large Language Models
Yingji Li
Mengnan Du
Rui Song
Xin Wang
Ying Wang
ALM
54
60
0
20 Aug 2023
vec2text with Round-Trip Translations
vec2text with Round-Trip Translations
Geoffrey Cideron
Sertan Girgin
Anton Raichuk
Olivier Pietquin
Olivier Bachem
Léonard Hussenot
60
3
0
14 Sep 2022
Generating Gender Augmented Data for NLP
Generating Gender Augmented Data for NLP
N. Jain
Maja Popovic
Declan Groves
Eva Vanmassenhove
37
15
0
13 Jul 2021
Improving Zero and Few-Shot Abstractive Summarization with Intermediate
  Fine-tuning and Data Augmentation
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Alexander R. Fabbri
Simeng Han
Haoyuan Li
Haoran Li
Marjan Ghazvininejad
Chenyu You
Dragomir R. Radev
Yashar Mehdad
123
95
0
24 Oct 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
344
4,230
0
23 Aug 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase
  Networks
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
John Wieting
Kevin Gimpel
Luke Zettlemoyer
AAML
GAN
205
713
0
17 Apr 2018
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