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The emergence of large language models (LLMs) has revolutionized artificial intelligence, offering unprecedented capabilities in reasoning, generalization, and zero-shot learning. These strengths open new frontiers in wireless…

Artificial Intelligence · Computer Science 2026-03-18 Le Liang , Hao Ye , Yucheng Sheng , Ouya Wang , Jiacheng Wang , Shi Jin , Geoffrey Ye Li

The rapid evolution of communication networks in recent decades has intensified the need for advanced Network and Service Management (NSM) strategies to address the growing demands for efficiency, scalability, enhanced performance, and…

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

The rapid advancement toward sixth-generation (6G) wireless networks has significantly intensified the complexity and scale of optimization problems, including resource allocation and trajectory design, often formulated as combinatorial…

Networking and Internet Architecture · Computer Science 2025-09-09 Bisheng Wei , Ruihong Jiang , Ruichen Zhang , Yinqiu Liu , Dusit Niyato , Yaohua Sun , Yang Lu , Yonghui Li , Shiwen Mao , Chau Yuen , Marco Di Renzo , Mugen Peng

Conventional 5G network management mechanisms, that operate in isolated silos across different network segments, will experience significant limitations in handling the unprecedented hyper-complexity and massive scale of the sixth…

Networking and Internet Architecture · Computer Science 2025-02-10 Abdelaali Chaoub , Muslim Elkotob

Low-altitude wireless networks (LAWNs) have the potential to revolutionize communications by supporting a range of applications, including urban parcel delivery, aerial inspections and air taxis. However, compared with traditional wireless…

Networking and Internet Architecture · Computer Science 2026-01-21 Chuang Zhang , Geng Sun , Yijing Lin , Weijie Yuan , Sinem Coleri , Dusit Niyato

Traditional network management algorithms have relied on prior knowledge of system models and networking scenarios. In practice, a universal optimization framework is desirable where a sole optimization module can be readily applied to…

Networking and Internet Architecture · Computer Science 2024-10-24 Hoon Lee , Mintae Kim , Seunghwan Baek , Namyoon Lee , Merouane Debbah , Inkyu Lee

Recent advancements in Artificial Intelligence, and particularly Large Language Models (LLMs), offer promising prospects for aiding system administrators in managing the complexity of modern networks. However, despite this potential, a…

Networking and Internet Architecture · Computer Science 2024-08-01 Denis Donadel , Francesco Marchiori , Luca Pajola , Mauro Conti

The advent of Large Language Models (LLMs) has revolutionized language understanding and human-like text generation, drawing interest from many other fields with this question in mind: What else are the LLMs capable of? Despite their…

Artificial Intelligence · Computer Science 2024-10-24 Nurullah Sevim , Mostafa Ibrahim , Sabit Ekin

The transition to 6G networks promises unprecedented advancements in wireless communication, with increased data rates, ultra-low latency, and enhanced capacity. However, the complexity of managing and optimizing these next-generation…

Networking and Internet Architecture · Computer Science 2024-12-16 Asmaa Abdallah , Abdullatif Albaseer , Abdulkadir Celik , Mohamed Abdallah , Ahmed M. Eltawil

The rapid evolution of network infrastructure is bringing new challenges and opportunities for efficient network management, optimization, and security. With very large monitoring databases becoming expensive to explore, the use of AI and…

Networking and Internet Architecture · Computer Science 2025-07-31 Hong-Jun Yoon , Mariam Kiran , Danial Ebling , Joe Breen

Large language models (LLMs), especially generative pre-trained transformers (GPTs), have recently demonstrated outstanding ability in information comprehension and problem-solving. This has motivated many studies in applying LLMs to…

Machine Learning · Computer Science 2024-05-21 Han Zhang , Akram Bin Sediq , Ali Afana , Melike Erol-Kantarci

Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks of life. As a superior natural language processing (NLP) technology, LLMs have consistently achieved state-of-the-art…

Networking and Internet Architecture · Computer Science 2024-06-26 Danshi Wang , Yidi Wang , Xiaotian Jiang , Yao Zhang , Yue Pang , Min Zhang

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) like GPT and LLaMA are revolutionizing the AI industry with their sophisticated capabilities. Training these models requires vast GPU clusters and significant computing time, posing major challenges in terms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Jiangfei Duan , Shuo Zhang , Zerui Wang , Lijuan Jiang , Wenwen Qu , Qinghao Hu , Guoteng Wang , Qizhen Weng , Hang Yan , Xingcheng Zhang , Xipeng Qiu , Dahua Lin , Yonggang Wen , Xin Jin , Tianwei Zhang , Peng Sun

Retrained large language models (LLMs) have become extensively used across various sub-disciplines of natural language processing (NLP). In NLP, text classification problems have garnered considerable focus, but still faced with some…

Computation and Language · Computer Science 2023-12-05 Zhiqiang Wang , Yiran Pang , Yanbin Lin

Large language model (LLM) has recently been considered a promising technique for many fields. This work explores LLM-based wireless network optimization via in-context learning. To showcase the potential of LLM technologies, we consider…

Systems and Control · Electrical Eng. & Systems 2025-06-17 Hao Zhou , Chengming Hu , Dun Yuan , Ye Yuan , Di Wu , Xue Liu , Charlie Zhang

The rapid evolution of network technologies and the growing complexity of network tasks necessitate a paradigm shift in how networks are designed, configured, and managed. With a wealth of knowledge and expertise, large language models…

Networking and Internet Architecture · Computer Science 2023-11-30 Yudong Huang , Hongyang Du , Xinyuan Zhang , Dusit Niyato , Jiawen Kang , Zehui Xiong , Shuo Wang , Tao Huang

Recently, large language models (LLMs) have been successfully applied to many fields, showing outstanding comprehension and reasoning capabilities. Despite their great potential, LLMs usually require dedicated pre-training and fine-tuning…

Networking and Internet Architecture · Computer Science 2024-12-31 Hao Zhou , Chengming Hu , Dun Yuan , Ye Yuan , Di Wu , Xi Chen , Hina Tabassum , Xue 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
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