A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

18 October 2023

Papers citing "A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation"

7 / 7 papers shown

Title
The Lou Dataset -- Exploring the Impact of Gender-Fair Language in German Text Classification Andreas Waldis Joel Birrer Anne Lauscher Iryna Gurevych 41 1 0 26 Sep 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 42 13 0 27 Jul 2024
Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art Chen Cecilia Liu Iryna Gurevych Anna Korhonen 38 5 0 06 Jun 2024
Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic Prompting Tilman Beck Hendrik Schuff Anne Lauscher Iryna Gurevych 43 34 0 13 Sep 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 372 12,081 0 04 Mar 2022
GENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena Eva Vanmassenhove J. Monti 31 15 0 05 Aug 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP Timo Schick Sahana Udupa Hinrich Schütze 265 373 0 28 Feb 2021