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A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for
  Fairer Instruction-Tuned Machine Translation

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

18 October 2023
Giuseppe Attanasio
Flor Miriam Plaza del Arco
Debora Nozza
Anne Lauscher
ArXivPDFHTML

Papers citing "A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation"

4 / 4 papers shown
Title
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
15
1
0
26 Sep 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
GENder-IT: An Annotated English-Italian Parallel Challenge Set for
  Cross-Linguistic Natural Gender Phenomena
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena
Eva Vanmassenhove
J. Monti
22
14
0
05 Aug 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
251
374
0
28 Feb 2021
1