⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

March 27, 2026Artificial Intelligence ReviewOpen Access

A survey on large language models with multilingualism: recent advances and new frontiers

Kaiyu Huang Fengran Mo Xinyu Zhang Hongliang Li Yong Li Yuanchi Zhang Wei-Jian Yi Yulong Mao Jinchen Liu Yi Xu JinAn Xu Jian-Yun Nie Yang Liu

View Full Paper

Ask AI

Bookmark

Share

Key Points

The central aim is to summarize recent advancements and challenges in multilingual applications of large language models.
Conducted a comprehensive survey summarizing existing research on multilingual large language models.
Explored various aspects like training methods, model safety, and dataset usage.
Discussed challenges and proposed potential solutions for multilingualism in LLMs.
Highlighted the current state of multilingual capabilities in LLMs and identified key challenges.
Provided insights on the importance of language-fair technology and its usability.
Outlined future research directions for enhancing multilingualism in LLMs.

No abstract yet

We only have this paper's title and publication details.

Read it at the source→

Implication

This survey reviews advances in multilingual large language models, highlighting challenges and future research directions.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69c8c336de0f0f753b39dd99 https://doi.org/10.1007/s10462-026-11534-5

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers2024 · 6 citations
2Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers2024 · 16 citations
3A Survey on Multilingual Large Language Models: Corpora, Alignment, and Bias2024 · 7 citations
4A Survey of Large Language Models: Evolution, Architectures, Adaptation, Benchmarking, Applications, Challenges, and Societal Implications2025 · 10 citations
5A Survey of Large Language Models: Evolution, Architectures, Adaptation, Benchmarking, Applications, Challenges, and Societal Implications2025 · 39 citations

More related papers

Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects2023
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects2024
History, Development, and Principles of Large Language Models-An Introductory Survey2024

More from Artificial Intelligence Review

Beyond the survey: a systematic empirical study of detection and association in visual MOTThu,
Leveraging machine learning in balancing inventories and analyzing market trends: a comprehensive systematic reviewWed,