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The rapid integration of Generative AI (GenAI) and Large Language Models (LLMs) in sectors such as education and healthcare have marked a significant advancement in technology. However, this growth has also led to a largely unexplored…

Cryptography and Security · Computer Science 2024-03-20 Tri Nguyen , Huong Nguyen , Ahmad Ijaz , Saeid Sheikhi , Athanasios V. Vasilakos , Panos Kostakos

Enhancing future wireless networks presents a significant challenge for networking systems due to diverse user demands and the emergence of 6G technology. While reinforcement learning (RL) is a powerful framework, it often encounters…

Networking and Internet Architecture · Computer Science 2026-02-17 Jie Zheng , Ruichen Zhang , Dusit Niyato , Haijun Zhang , Jiacheng Wang , Hongyang Du , Jiawen Kang , Zehui Xiong

Generative artificial intelligence (GAI) is a promising technique towards 6G networks, and generative foundation models such as large language models (LLMs) have attracted considerable interest from academia and telecom industry. This work…

Systems and Control · Electrical Eng. & Systems 2025-03-25 Hao Zhou , Chengming Hu , Dun Yuan , Ye Yuan , Di Wu , Xue Liu , Zhu Han , Charlie Zhang

The surge in connected devices in 6G with typical complex tasks requiring multi-user cooperation, such as smart agriculture and smart cities, poses significant challenges to unsustainable traditional communication. Fortunately, the booming…

Networking and Internet Architecture · Computer Science 2025-02-24 Wanting Yang , Zehui Xiong , Shiwen Mao , Tony Q. S. Quek , Ping Zhang , Merouane Debbah , Rahim Tafazolli

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

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

Sixth-generation (6G) networks are increasingly envisioned as AI-native infrastructures integrating communication, sensing, and computing into a unified fabric. However, existing approaches remain largely optimization-centric, relying on…

Networking and Internet Architecture · Computer Science 2026-05-05 Mohamed Amine Ferrag , Abderrahmane Lakas , Merouane Debbah

This paper introduces DebateBrawl, an innovative AI-powered debate platform that integrates Large Language Models (LLMs), Genetic Algorithms (GA), and Adversarial Search (AS) to create an adaptive and engaging debating experience.…

Artificial Intelligence · Computer Science 2025-04-01 Prakash Aryan

The integration of Artificial Intelligence (AI) within 6G networks is poised to revolutionize connectivity, reliability, and intelligent decision-making. However, the performance of AI models in these networks is crucial, as any decline can…

Networking and Internet Architecture · Computer Science 2025-01-28 Liming Huang , Yulei Wu , Dimitra Simeonidou

Recent advancements have significantly enhanced the performance of large language models (LLMs) in tackling complex reasoning tasks, achieving notable success in domains like mathematical and logical reasoning. However, these methods…

Artificial Intelligence · Computer Science 2025-05-30 Runquan Gui , Zhihai Wang , Jie Wang , Chi Ma , Huiling Zhen , Mingxuan Yuan , Jianye Hao , Defu Lian , Enhong Chen , Feng Wu

Integrating large language models (LLMs) with knowledge graphs derived from domain-specific data represents an important advancement towards more powerful and factual reasoning. As these models grow more capable, it is crucial to enable…

Artificial Intelligence · Computer Science 2024-04-19 Stefan Dernbach , Khushbu Agarwal , Alejandro Zuniga , Michael Henry , Sutanay Choudhury

Recently, large language models (LLMs) have gained significant attention for their ability to generate fast and accurate answer to the given query. These models have evolved into large multimodal models (LMMs), which can interpret and…

Information Theory · Computer Science 2026-01-13 Sunwoo Kim , Byonghyo Shim

Large Language Models (LLMs) possess human-level cognitive and decision-making capabilities, making them a key technology for 6G. However, applying LLMs to the communication domain faces three major challenges: 1) Inadequate communication…

Information Theory · Computer Science 2025-02-27 Feibo Jiang , Wanyun Zhu , Li Dong , Kezhi Wang , Kun Yang , Cunhua Pan , Octavia A. Dobre

The drive toward automating cellular network operations has grown with the increasing complexity of these systems. Despite advancements, full autonomy currently remains out of reach due to reliance on human intervention for modeling network…

Artificial Intelligence · Computer Science 2024-11-12 Fadhel Ayed , Ali Maatouk , Nicola Piovesan , Antonio De Domenico , Merouane Debbah , Zhi-Quan Luo

Recent advances in Large Language Models (LLMs) are fostering their integration into several reasoning-related fields, including Automated Planning (AP). However, their integration into Hierarchical Planning (HP), a subfield of AP that…

Artificial Intelligence · Computer Science 2025-11-25 Israel Puerta-Merino , Carlos Núñez-Molina , Pablo Mesejo , Juan Fernández-Olivares

Large Language Models (LLMs) have made significant progress in reasoning, demonstrating their capability to generate human-like responses. This study analyzes the problem-solving capabilities of LLMs in the domain of thermodynamics. A…

Computational Engineering, Finance, and Science · Computer Science 2025-12-18 Rebecca Loubet , Pascal Zittlau , Luisa Vollmer , Marco Hoffmann , Sophie Fellenz , Fabian Jirasek , Heike Leitte , Hans Hasse

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

The evolution towards 6G architecture promises a transformative shift in communication networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into the seamless integration of Large Language Models (LLMs)…

Networking and Internet Architecture · Computer Science 2023-11-13 Sasu Tarkoma , Roberto Morabito , Jaakko Sauvola

Large Language Models (LLMs) have fundamentally reshaped Argument Mining (AM), shifting it from a pipeline of supervised, task-specific classifiers to a spectrum of prompt-driven, retrieval-augmented, and reasoning-oriented paradigms. Yet…

Computation and Language · Computer Science 2025-11-26 Hao Li , Viktor Schlegel , Yizheng Sun , Riza Batista-Navarro , Goran Nenadic

We introduce DebateBench, a novel dataset consisting of an extensive collection of transcripts and metadata from some of the world's most prestigious competitive debates. The dataset consists of British Parliamentary debates from…

Computation and Language · Computer Science 2025-02-11 Utkarsh Tiwari , Aryan Seth , Adi Mukherjee , Kaavya Mer , Kavish , Dhruv Kumar