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Parameter-efficient Modularised Bias Mitigation via AdapterFusion

Parameter-efficient Modularised Bias Mitigation via AdapterFusion

13 February 2023
Deepak Kumar
Oleg Lesota
George Zerveas
Daniel Cohen
Carsten Eickhoff
Markus Schedl
Navid Rekabsaz
    MoMe
    KELM
ArXivPDFHTML

Papers citing "Parameter-efficient Modularised Bias Mitigation via AdapterFusion"

8 / 8 papers shown
Title
The Trade-off between Performance, Efficiency, and Fairness in Adapter
  Modules for Text Classification
The Trade-off between Performance, Efficiency, and Fairness in Adapter Modules for Text Classification
Minh Duc Bui
K. Wense
31
0
0
03 May 2024
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
49
59
0
20 Aug 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
29
34
0
23 May 2023
Linear Adversarial Concept Erasure
Linear Adversarial Concept Erasure
Shauli Ravfogel
Michael Twiton
Yoav Goldberg
Ryan Cotterell
KELM
81
57
0
28 Jan 2022
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
259
374
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
215
138
0
23 Jan 2021
The Woman Worked as a Babysitter: On Biases in Language Generation
The Woman Worked as a Babysitter: On Biases in Language Generation
Emily Sheng
Kai-Wei Chang
Premkumar Natarajan
Nanyun Peng
211
616
0
03 Sep 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
674
0
17 Feb 2018
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