AI RESEARCH
Multiple-Debias: A Full-process Debiasing Method for Multilingual Pre-trained Language Models
arXiv CS.CL
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ArXi:2604.02772v1 Announce Type: new Multilingual Pre-trained Language Models (MPLMs) have become essential tools for natural language processing. However, they often exhibit biases related to sensitive attributes such as gender, race, and religion. In this paper, we