Projective methods for mitigating gender bias in pre-trained language models
Projective methods for mitigating gender bias in pre-trained language models
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Link | https://aclanthology.org/2024.lrec-main.1146 |
Author | Search for: 1; Search for: 1; Search for: ; Search for: |
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Format | Text, Article |
Conference | 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), May 20-25, 2024, Torino, Italia |
Subject | gender bias; bias mitigation; StereoSet |
Abstract | |
Publication date | 2024-05 |
Publisher | ELRA Language Resource Association International Committee on Computational Linguistics (ICCL) |
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Language | English |
Peer reviewed | Yes |
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Record identifier | 321b8422-c559-4430-a185-e21e4de47f91 |
Record created | 2024-05-24 |
Record modified | 2024-05-27 |
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