Gender Bias in Meta-Embeddings

19 May 2022

Papers citing "Gender Bias in Meta-Embeddings"

6 / 6 papers shown

Title
Uncovering and Quantifying Social Biases in Code Generation Y. Liu Xiaokang Chen Yan Gao Zhe Su Fengji Zhang Daoguang Zan Jian-Guang Lou Pin-Yu Chen Tsung-Yi Ho 30 19 0 24 May 2023
Debiasing isn't enough! -- On the Effectiveness of Debiasing MLMs and their Social Biases in Downstream Tasks Masahiro Kaneko Danushka Bollegala Naoaki Okazaki 14 41 0 06 Oct 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 254 374 0 28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings Masahiro Kaneko Danushka Bollegala 210 138 0 23 Jan 2021
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation Tianlu Wang Xi Victoria Lin Nazneen Rajani Bryan McCann Vicente Ordonez Caimng Xiong CVBM 105 54 0 03 May 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013