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Quantifying Gender Bias Towards Politicians in Cross-Lingual Language
  Models

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models

15 April 2021
Karolina Stañczak
Sagnik Ray Choudhury
Tiago Pimentel
Ryan Cotterell
Isabelle Augenstein
ArXivPDFHTML

Papers citing "Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models"

5 / 5 papers shown
Title
Large Language Models as Superpositions of Cultural Perspectives
Large Language Models as Superpositions of Cultural Perspectives
Grgur Kovač
Masataka Sawayama
Rémy Portelas
Cédric Colas
Peter Ford Dominey
Pierre-Yves Oudeyer
LLMAG
32
33
0
15 Jul 2023
Naturalistic Causal Probing for Morpho-Syntax
Naturalistic Causal Probing for Morpho-Syntax
Afra Amini
Tiago Pimentel
Clara Meister
Ryan Cotterell
MILM
100
18
0
14 May 2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in
  Values
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values
Arnav Arora
Lucie-Aimée Kaffee
Isabelle Augenstein
VLM
25
123
0
25 Mar 2022
A Survey on Gender Bias in Natural Language Processing
A Survey on Gender Bias in Natural Language Processing
Karolina Stañczak
Isabelle Augenstein
28
109
0
28 Dec 2021
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
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