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Debiasing Pre-trained Contextualised Embeddings

Debiasing Pre-trained Contextualised Embeddings

23 January 2021
Masahiro Kaneko
Danushka Bollegala
ArXivPDFHTML

Papers citing "Debiasing Pre-trained Contextualised Embeddings"

31 / 31 papers shown
Title
Gender Encoding Patterns in Pretrained Language Model Representations
Mahdi Zakizadeh
Mohammad Taher Pilehvar
43
0
0
09 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
122
0
0
28 Feb 2025
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation
Andreea Iana
Fabian David Schmidt
Goran Glavas
Heiko Paulheim
63
3
0
20 Jan 2025
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring
Foundation Models at Work: Fine-Tuning for Fairness in Algorithmic Hiring
Buse Sibel Korkmaz
Rahul Nair
Elizabeth M. Daly
Evangelos Anagnostopoulos
Christos Varytimidis
Antonio del Rio Chanona
40
0
0
13 Jan 2025
Collapsed Language Models Promote Fairness
Collapsed Language Models Promote Fairness
Jingxuan Xu
Wuyang Chen
Linyi Li
Yao Zhao
Yunchao Wei
39
0
0
06 Oct 2024
Explanation Bottleneck Models
Explanation Bottleneck Models
Shinýa Yamaguchi
Kosuke Nishida
LRM
BDL
49
1
0
26 Sep 2024
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
42
6
0
17 Jun 2024
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
Hire Me or Not? Examining Language Model's Behavior with Occupation Attributes
Damin Zhang
Yi Zhang
Geetanjali Bihani
Julia Taylor Rayz
48
2
0
06 May 2024
REQUAL-LM: Reliability and Equity through Aggregation in Large Language
  Models
REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
Sana Ebrahimi
N. Shahbazi
Abolfazl Asudeh
29
1
0
17 Apr 2024
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
LLM-Assisted Content Conditional Debiasing for Fair Text Embedding
Wenlong Deng
Blair Chen
Beidi Zhao
Chiyu Zhang
Xiaoxiao Li
Christos Thrampoulidis
33
0
0
22 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
26
2
0
15 Feb 2024
Evaluating Gender Bias in Large Language Models via Chain-of-Thought
  Prompting
Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
Timothy Baldwin
LRM
29
27
0
28 Jan 2024
Quantifying Stereotypes in Language
Quantifying Stereotypes in Language
Yang Liu
30
1
0
28 Jan 2024
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
Patrick Haller
Ansar Aynetdinov
A. Akbik
26
24
0
07 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
46
59
0
20 Aug 2023
An Empirical Analysis of Parameter-Efficient Methods for Debiasing
  Pre-Trained Language Models
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie
Thomas Lukasiewicz
23
12
0
06 Jun 2023
An Efficient Multilingual Language Model Compression through Vocabulary
  Trimming
An Efficient Multilingual Language Model Compression through Vocabulary Trimming
Asahi Ushio
Yi Zhou
Jose Camacho-Collados
41
7
0
24 May 2023
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
A Trip Towards Fairness: Bias and De-Biasing in Large Language Models
Leonardo Ranaldi
Elena Sofia Ruzzetti
Davide Venditti
Dario Onorati
Fabio Massimo Zanzotto
27
33
0
23 May 2023
Solving NLP Problems through Human-System Collaboration: A
  Discussion-based Approach
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
33
6
0
19 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
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and
  their Social Biases in Downstream Tasks
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks
Masahiro Kaneko
Danushka Bollegala
Naoaki Okazaki
18
41
0
06 Oct 2022
Assessing the Limits of the Distributional Hypothesis in Semantic
  Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Assessing the Limits of the Distributional Hypothesis in Semantic Spaces: Trait-based Relational Knowledge and the Impact of Co-occurrences
Mark Anderson
Jose Camacho-Collados
30
0
0
16 May 2022
Learning to Split for Automatic Bias Detection
Learning to Split for Automatic Bias Detection
Yujia Bao
Regina Barzilay
10
20
0
28 Apr 2022
Sense Embeddings are also Biased--Evaluating Social Biases in Static and
  Contextualised Sense Embeddings
Sense Embeddings are also Biased--Evaluating Social Biases in Static and Contextualised Sense Embeddings
Yi Zhou
Masahiro Kaneko
Danushka Bollegala
26
23
0
14 Mar 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
24
6
0
10 Mar 2022
Linear Adversarial Concept Erasure
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
81
57
0
28 Jan 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
Sustainable Modular Debiasing of Language Models
Sustainable Modular Debiasing of Language Models
Anne Lauscher
Tobias Lüken
Goran Glavas
47
120
0
08 Sep 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
230
31,253
0
16 Jan 2013
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