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Despite outstanding processes in many tasks, Large Language Models (LLMs) still lack accuracy when dealing with highly technical domains. Especially, telecommunications (telco) is a particularly challenging domain due the large amount of…

Computation and Language · Computer Science 2024-12-23 Camille Barboule , Viet-Phi Huynh , Adrien Bufort , Yoan Chabot , Géraldine Damnati , Gwénolé Lecorvé

Large language models (LLMs) have received considerable attention recently due to their outstanding comprehension and reasoning capabilities, leading to great progress in many fields. The advancement of LLM techniques also offers promising…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Hao Zhou , Chengming Hu , Ye Yuan , Yufei Cui , Yili Jin , Can Chen , Haolun Wu , Dun Yuan , Li Jiang , Di Wu , Xue Liu , Charlie Zhang , Xianbin Wang , Jiangchuan Liu

Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and…

Information Theory · Computer Science 2024-02-27 Ali Maatouk , Nicola Piovesan , Fadhel Ayed , Antonio De Domenico , Merouane Debbah

Large Language Models (LLMs) have emerged as powerful tools for automating complex reasoning and decision-making tasks. In telecommunications, they hold the potential to transform network optimization, automate troubleshooting, enhance…

Large Language Models (LLMs) have the potential to revolutionize the Sixth Generation (6G) communication networks. However, current mainstream LLMs generally lack the specialized knowledge in telecom domain. In this paper, for the first…

Signal Processing · Electrical Eng. & Systems 2024-07-15 Hang Zou , Qiyang Zhao , Yu Tian , Lina Bariah , Faouzi Bader , Thierry Lestable , Merouane Debbah

Language Models (LLMs) are increasingly explored in the telecom industry to support engineering tasks, accelerate troubleshooting, and assist in interpreting complex technical documents. However, recent studies show that LLMs perform poorly…

Computation and Language · Computer Science 2026-01-09 Anas Ezzakri , Nicola Piovesan , Mohamed Sana , Antonio De Domenico , Fadhel Ayed , Haozhe Zhang

The telecommunications and networking domain stands at the precipice of a transformative era, driven by the necessity to manage increasingly complex, hierarchical, multi administrative domains (i.e., several operators on the same path) and…

Networking and Internet Architecture · Computer Science 2025-06-30 Viswanath Kumarskandpriya , Abdulhalim Dandoush , Abbas Bradai , Ali Belgacem

Large language models (LLMs) have showcased profound capabilities in language understanding and generation, facilitating a wide array of applications. However, there is a notable paucity of detailed, open-sourced methodologies on…

The increasing adoption of artificial intelligence in telecommunications has raised interest in the capability of Large Language Models (LLMs) to address domain-specific, mathematically intensive tasks. Although recent advancements have…

Artificial Intelligence · Computer Science 2025-06-13 Vincenzo Colle , Mohamed Sana , Nicola Piovesan , Antonio De Domenico , Fadhel Ayed , Merouane Debbah

This paper addresses the growing need for efficient large language models (LLMs) on mobile devices, driven by increasing cloud costs and latency concerns. We focus on designing top-quality LLMs with fewer than a billion parameters, a…

The emergence of Large Language Models (LLMs) has revolutionized natural language processing in various applications especially in e-commerce. One crucial step before the application of such LLMs in these fields is to understand and compare…

Computation and Language · Computer Science 2024-08-26 Chester Palen-Michel , Ruixiang Wang , Yipeng Zhang , David Yu , Canran Xu , Zhe Wu

The increasing interest in Large Language Models (LLMs) within the telecommunications sector underscores their potential to revolutionize operational efficiency. However, the deployment of these sophisticated models is often hampered by…

Computation and Language · Computer Science 2024-06-26 Nicola Piovesan , Antonio De Domenico , Fadhel Ayed

Large Language Models (LLMs) are continuously being applied in a more diverse set of contexts. At their current state, however, even state-of-the-art LLMs such as Generative Pre-Trained Transformer 4 (GTP-4) have challenges when extracting…

Computation and Language · Computer Science 2024-06-05 Felipe A. Rodriguez Y.

Large Language Models (LLMs) represent a significant stride toward Artificial General Intelligence. As scaling laws underscore the potential of increasing model sizes, the academic community has intensified its investigations into LLMs with…

Large Language Models (LLMs) have emerged as a significant advancement in the field of Natural Language Processing (NLP), demonstrating remarkable capabilities in language generation and other language-centric tasks. Despite their…

Computation and Language · Computer Science 2024-02-27 Tasnim Ahmed , Nicola Piovesan , Antonio De Domenico , Salimur Choudhury

Recently, Large Language Models (LLM) have demonstrated impressive capability to solve a wide range of tasks. However, despite their success across various tasks, no prior work has investigated their capability in the biomedical domain yet.…

Computation and Language · Computer Science 2024-02-21 Israt Jahan , Md Tahmid Rahman Laskar , Chun Peng , Jimmy Huang

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

The rapid evolution of specialized large language models (LLMs) has transitioned from simple domain adaptation to sophisticated native architectures, marking a paradigm shift in AI development. This survey systematically examines this…

Computation and Language · Computer Science 2025-08-28 Chenghan Yang , Ruiyu Zhao , Yang Liu , Ling Jiang

Large Language Models (LLMs) have demonstrated remarkable performance across various natural language tasks, marking significant strides towards general artificial intelligence. While general artificial intelligence is leveraged by…

Computation and Language · Computer Science 2023-10-31 Yizhe Yang , Huashan Sun , Jiawei Li , Runheng Liu , Yinghao Li , Yuhang Liu , Heyan Huang , Yang Gao

The deployment of large language models (LLMs) within the healthcare sector has sparked both enthusiasm and apprehension. These models exhibit the remarkable capability to provide proficient responses to free-text queries, demonstrating a…

Computation and Language · Computer Science 2024-07-09 Zabir Al Nazi , Wei Peng
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