Are Pretrained Multilingual Models Equally Fair Across Languages?

11 October 2022

Papers citing "Are Pretrained Multilingual Models Equally Fair Across Languages?"

10 / 10 papers shown

Title
Bias Beyond English: Evaluating Social Bias and Debiasing Methods in a Low-Resource Setting Ej Zhou Weiming Lu 31 0 0 15 Apr 2025
Performance of Recent Large Language Models for a Low-Resourced Language Ravindu Jayakody Gihan Dias 34 5 0 31 Jul 2024
A Recipe of Parallel Corpora Exploitation for Multilingual Large Language Models Peiqin Lin André F. T. Martins Hinrich Schütze 64 2 0 29 Jun 2024
A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias Yuemei Xu Ling Hu Jiayi Zhao Zihan Qiu Yuqi Ye Hanwen Gu LRM 32 37 0 01 Apr 2024
Multilingual large language models leak human stereotypes across language boundaries Yang Trista Cao Anna Sotnikova Jieyu Zhao Linda X. Zou Rachel Rudinger Hal Daumé PILM 33 10 0 12 Dec 2023
Towards a Deep Understanding of Multilingual End-to-End Speech Translation Haoran Sun Xiaohu Zhao Yikun Lei Shaolin Zhu Deyi Xiong 42 8 0 31 Oct 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages Sharon Levy Neha Ann John Ling Liu Yogarshi Vyas Jie Ma Yoshinari Fujinuma Miguel Ballesteros Vittorio Castelli Dan Roth 26 26 0 18 May 2023
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation Marzena Karpinska Nader Akoury Mohit Iyyer 223 107 0 14 Sep 2021
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta Ankur Bapna Isaac Caswell N. Arivazhagan Orhan Firat LRM 144 121 0 05 Sep 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,230 0 23 Aug 2019