ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.00787
  4. Cited By
Applying Intrinsic Debiasing on Downstream Tasks: Challenges and
  Considerations for Machine Translation

Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation

2 June 2024
Bar Iluz
Yanai Elazar
Asaf Yehudai
Gabriel Stanovsky
ArXivPDFHTML

Papers citing "Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation"

4 / 4 papers shown
Title
Exploring the Impact of Training Data Distribution and Subword
  Tokenization on Gender Bias in Machine Translation
Exploring the Impact of Training Data Distribution and Subword Tokenization on Gender Bias in Machine Translation
Bar Iluz
Tomasz Limisiewicz
Gabriel Stanovsky
David Marevcek
19
1
0
21 Sep 2023
Contrastive Learning for Fair Representations
Contrastive Learning for Fair Representations
Aili Shen
Xudong Han
Trevor Cohn
Timothy Baldwin
Lea Frermann
FaML
26
33
0
22 Sep 2021
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
248
374
0
28 Feb 2021
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
202
121
0
23 Jan 2021
1