This survey provides a comprehensive analysis of Multilingual Large Language Models (MLLMs), delving into critical issues surrounding their training corpora, multilingual representation alignment, and inherent biases.
This paper presents a comprehensive survey of the recent progress and emerging trends in multilingual large language models (MLLMs), offering a unified perspective through a novel taxonomy based on alignment strategies.