What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study Paper • 2410.00545 • Published Oct 1, 2024 • 5
Language Model Council: Benchmarking Foundation Models on Highly Subjective Tasks by Consensus Paper • 2406.08598 • Published Jun 12, 2024 • 5
The Prompt Report: A Systematic Survey of Prompting Techniques Paper • 2406.06608 • Published Jun 6, 2024 • 58
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models Paper • 2405.08477 • Published May 14, 2024
Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges Paper • 2301.10075 • Published Jan 24, 2023
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus Paper • 2310.05294 • Published Oct 8, 2023
A Prompt Response to the Demand for Automatic Gender-Neutral Translation Paper • 2402.06041 • Published Feb 8, 2024
XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models Paper • 2308.01263 • Published Aug 2, 2023
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions Paper • 2309.07875 • Published Sep 14, 2023
Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features Paper • 2309.07733 • Published Sep 14, 2023
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation Paper • 2310.12127 • Published Oct 18, 2023 • 1
Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists Paper • 2203.09192 • Published Mar 17, 2022
Contrastive Language-Image Pre-training for the Italian Language Paper • 2108.08688 • Published Aug 19, 2021 • 2