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How Gender Debiasing Affects Internal Model Representations, and Why It
  Matters

How Gender Debiasing Affects Internal Model Representations, and Why It Matters

14 April 2022
Hadas Orgad
Seraphina Goldfarb-Tarrant
Yonatan Belinkov
ArXivPDFHTML

Papers citing "How Gender Debiasing Affects Internal Model Representations, and Why It Matters"

7 / 7 papers shown
Title
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
40
10
0
27 Jul 2024
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
Cross-lingual Transfer Can Worsen Bias in Sentiment Analysis
Seraphina Goldfarb-Tarrant
Bjorn Ross
Adam Lopez
33
7
0
22 May 2023
Shielded Representations: Protecting Sensitive Attributes Through
  Iterative Gradient-Based Projection
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection
Shadi Iskander
Kira Radinsky
Yonatan Belinkov
28
17
0
17 May 2023
Choose Your Lenses: Flaws in Gender Bias Evaluation
Choose Your Lenses: Flaws in Gender Bias Evaluation
Hadas Orgad
Yonatan Belinkov
27
35
0
20 Oct 2022
Log-linear Guardedness and its Implications
Log-linear Guardedness and its Implications
Shauli Ravfogel
Yoav Goldberg
Ryan Cotterell
28
2
0
18 Oct 2022
Linear Adversarial Concept Erasure
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
81
57
0
28 Jan 2022
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
40
23
0
09 Sep 2021
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