Comprehensive Analysis of Multilingual Large Language Models: Corpora, Alignment, and Bias
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.
Multilingual Large Language Models: A Comprehensive Survey of Resources, Taxonomy, and Emerging Frontiers
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.
Preliminary Results of the OpenGPT-X Project: Development of Two Multilingual Large Language Models for All 24 Official European Union Languages
This research paper presents the development of two multilingual large language models (LLMs) designed to support all 24 official languages of the European Union, addressing the limitations of existing English-centric LLMs and promoting linguistic diversity in AI.
欧州言語に特化した大規模言語モデル開発の進捗状況
本稿では、ヨーロッパの言語多様性を包括的にサポートするために、EUの24の公用語すべてに対応した2つの多言語大規模言語モデル（LLM）、「Ours (Base)」と「Ours (Instruct)」の開発について報告する。
유럽 언어 중심 다국어 대규모 언어 모델 개발을 위한 노력과 초기 성과
본 논문에서는 유럽 연합의 24개 공식 언어를 모두 지원함으로써 유럽의 언어적 다양성을 포용하도록 설계된 두 가지 다국어 대규모 언어 모델(LLM)의 개발 과정과 초기 연구 결과를 제시합니다.
歐洲大型語言模型進展報告
歐洲研究人員開發了兩個多語言大型語言模型，旨在支持所有 24 種歐盟官方語言，解決現有模型以英語為中心的局限性，並為歐洲的語言多樣性提供更具包容性的解決方案。
