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Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated convergence of diverse communication technologies to ensure seamless connectivity across different altitudes and platforms. This paper explores the…

Machine Learning · Computer Science 2024-07-08 Shumaila Javaid , Ruhul Amin Khalil , Nasir Saeed , Bin He , Mohamed-Slim Alouini

The Internet of Things (IoT) in the sixth generation (6G) era is envisioned to evolve towards intelligence, ubiquity, and self-optimization. Large language models (LLMs) have demonstrated remarkable generalization capabilities across…

Emerging Technologies · Computer Science 2025-06-26 Xiaopei Chen , Wen Wu , Liang Li , Fei Ji

Time series analysis is pivotal in domains like financial forecasting and biomedical monitoring, yet traditional methods are constrained by limited nonlinear feature representation and long-term dependency capture. The emergence of Large…

Machine Learning · Computer Science 2025-06-16 Feifei Shi , Xueyan Yin , Kang Wang , Wanyu Tu , Qifu Sun , Huansheng Ning

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

ChatGPT and other state-of-the-art large language models (LLMs) are rapidly transforming multiple fields, offering powerful tools for a wide range of applications. These models, commonly trained on vast datasets, exhibit human-like text…

Unmanned Aerial Vehicles (UAVs) have emerged as a transformative technology across diverse sectors, offering adaptable solutions to complex challenges in both military and civilian domains. Their expanding capabilities present a platform…

Artificial Intelligence · Computer Science 2024-05-06 Shumaila Javaid , Nasir Saeed , Bin He

This critical review provides an in-depth analysis of Large Language Models (LLMs), encompassing their foundational principles, diverse applications, and advanced training methodologies. We critically examine the evolution from Recurrent…

Artificial Intelligence · Computer Science 2025-09-29 Milad Moradi , Ke Yan , David Colwell , Matthias Samwald , Rhona Asgari

This paper provides a primer on Large Language Models (LLMs) and identifies their strengths, limitations, applications and research directions. It is intended to be useful to those in academia and industry who are interested in gaining an…

Computation and Language · Computer Science 2024-12-09 Sandra Johnson , David Hyland-Wood

With the worldwide growth of remote communication and telepresence, network measurements form a cornerstone of effective performance assessment and diagnostics for Internet users. Most often, users seek for overall connection performance…

Networking and Internet Architecture · Computer Science 2025-06-02 Roman Beltiukov , Karthik Bhattaram , Evania Cheng , Vinod Kanigicherla , Akul Singh , Ken Thampiratwong , Arpit Gupta

Large language models (LLMs) have undergone significant expansion and have been increasingly integrated across various domains. Notably, in the realm of robot task planning, LLMs harness their advanced reasoning and language comprehension…

Large language models (LLMs) are transforming society, powering applications from smartphone assistants to autonomous driving. Yet cloud-based LLM services alone cannot serve a growing class of applications, including those operating under…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Liangqi Yuan , Wenzhi Fang , Shiqiang Wang , H. Vincent Poor , Christopher G. Brinton

Many organisations pursue digital transformation to enhance operational efficiency, reduce manual efforts, and optimise processes by automation and digital tools. To achieve this, a comprehensive understanding of their unique needs is…

Human-Computer Interaction · Computer Science 2025-11-06 Jiawei Zheng , Gokcen Yilmaz , Ji Han , Saeema Ahmed-Kristensen

In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, implications, and potential of LLMs in building energy…

Systems and Control · Electrical Eng. & Systems 2023-12-20 Liang Zhang , Zhelun Chen

We propose a novel approach to enhancing the performance and efficiency of large language models (LLMs) by combining domain prompt routing with domain-specialized models. We introduce a system that utilizes a BERT-based router to direct…

Computation and Language · Computer Science 2024-10-11 Toby Simonds , Kemal Kurniawan , Jey Han Lau

This paper identifies and analyzes applications in which Large Language Models (LLMs) can make Internet of Things (IoT) networks more intelligent and responsive through three case studies from critical topics: DDoS attack detection,…

Artificial Intelligence · Computer Science 2024-10-28 Mingyu Zong , Arvin Hekmati , Michael Guastalla , Yiyi Li , Bhaskar Krishnamachari

Traditional approaches to network management have been accessible only to a handful of highly-trained network operators with significant expert knowledge. This creates barriers for lay users to easily manage their networks without resorting…

Networking and Internet Architecture · Computer Science 2025-09-26 Samuel Lin , Jiawei Zhou , Minlan Yu

The overarching research direction of this work is the development of a ''Responsible Intelligence'' framework designed to reconcile the immense generative power of Large Language Models (LLMs) with the stringent requirements of real-world…

Computation and Language · Computer Science 2026-02-17 Somnath Banerjee

Modern wireless communication systems have become increasingly complex due to the proliferation of wireless devices, increasing performance standards, and growing security threats. Managing these networks is becoming more challenging,…

Networking and Internet Architecture · Computer Science 2024-11-26 Zine el abidine Kherroubi , Monika Prakash , Jean-Pierre Giacalone , Michael Baddeley

Large language models (LLMs) have become the secret ingredient driving numerous industrial applications, showcasing their remarkable versatility across a diverse spectrum of tasks. From natural language processing and sentiment analysis to…

The rise of Large Language Models (LLMs) has revolutionized our comprehension of intelligence bringing us closer to Artificial Intelligence. Since their introduction, researchers have actively explored the applications of LLMs across…

Cryptography and Security · Computer Science 2024-02-05 Farzad Nourmohammadzadeh Motlagh , Mehrdad Hajizadeh , Mehryar Majd , Pejman Najafi , Feng Cheng , Christoph Meinel