mlsanityData to 7 Oct 2026

Sovereign Large Language Models: Advantages, Strategy and Regulations

arXiv 2503.04745 ↗First posted 5 Feb 2025cs.CY cs.CLcited by 1

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Abstract (arXiv)

This report analyzes key trends, challenges, risks, and opportunities associated with the development of Large Language Models (LLMs) globally. It examines national experiences in developing LLMs and assesses the feasibility of investment in this sector. Additionally, the report explores strategies for implementing, regulating, and financing AI projects at the state level.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 170 references that are in the map. First posted on arXiv 5 Feb 2025.

Builds on

5 of 170 references.

References · 5

  1. 2019CamemBERT: a Tasty French Language Modelcited by 368
  2. 2024ALLaM: Large Language Models for Arabic and Englishcited by 55
  3. 2024On Large Language Models in National Security Applicationscited by 18
  4. 2021KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understandingcited by 9
  5. 2024OpenThaiGPT 1.5: A Thai-Centric Open Source Large Language Modelcited by 8

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Citing papers per year: 2026: 1.

1 paper.

  1. 2026Jupiter-N Technical Reportcited by 0