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相关论文: Large Language Model (LLM) for Telecommunications:…

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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…

网络与互联网体系结构 · 计算机科学 2024-06-26 Danshi Wang , Yidi Wang , Xiaotian Jiang , Yao Zhang , Yue Pang , Min Zhang

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…

人工智能 · 计算机科学 2026-03-18 Le Liang , Hao Ye , Yucheng Sheng , Ouya Wang , Jiacheng Wang , Shi Jin , Geoffrey Ye Li

The advance of Artificial Intelligence (AI) is continuously reshaping the future 6G wireless communications. Particularly, the development of Large Language Models (LLMs) offers a promising approach to effectively improve the performance…

信息论 · 计算机科学 2025-03-10 Tianyue Zheng , Linglong Dai

Recent advances in generative artificial intelligence (AI), and particularly the integration of large language models (LLMs), have had considerable impact on multiple domains. Meanwhile, enhancing dynamic network performance is a crucial…

网络与互联网体系结构 · 计算机科学 2024-07-31 Geng Sun , Yixian Wang , Dusit Niyato , Jiacheng Wang , Xinying Wang , H. Vincent Poor , Khaled B. Letaief

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

人工智能 · 计算机科学 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada

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…

网络与互联网体系结构 · 计算机科学 2023-11-30 Yudong Huang , Hongyang Du , Xinyuan Zhang , Dusit Niyato , Jiawen Kang , Zehui Xiong , Shuo Wang , Tao Huang

The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configured, and managed. Recent advancements in Large Language…

网络与互联网体系结构 · 计算机科学 2024-06-18 Jiawei Shao , Jingwen Tong , Qiong Wu , Wei Guo , Zijian Li , Zehong Lin , Jun Zhang

The 6G wireless communications aim to establish an intelligent world of ubiquitous connectivity, providing an unprecedented communication experience. Large artificial intelligence models (LAMs) are characterized by significantly larger…

信息论 · 计算机科学 2025-05-07 Feibo Jiang , Cunhua Pan , Li Dong , Kezhi Wang , Merouane Debbah , Dusit Niyato , Zhu Han

Reinforcement Learning (RL) has shown remarkable success in enabling adaptive and data-driven optimization for various applications in wireless networks. However, classical RL suffers from limitations in generalization, learning feedback,…

网络与互联网体系结构 · 计算机科学 2025-12-04 Lingyi Cai , Wenjie Fu , Yuxi Huang , Ruichen Zhang , Yinqiu Liu , Jiawen Kang , Zehui Xiong , Tao Jiang , Dusit Niyato , Xianbin Wang , Shiwen Mao , Xuemin Shen

Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However,…

密码学与安全 · 计算机科学 2025-10-14 Muhammed Golec , Yaser Khamayseh , Suhib Bani Melhem , Abdulmalik Alwarafy

Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. These models far exceed the complexity of conventional neural…

机器学习 · 计算机科学 2024-12-05 Minghao Shao , Abdul Basit , Ramesh Karri , Muhammad Shafique

Large language models (LLMs) have advanced rapidly, emerging as versatile tools across fields thanks to their exceptional language understanding, generation, and reasoning capabilities. However, performing LLM inference at the network edge…

分布式、并行与集群计算 · 计算机科学 2026-04-28 Zhixiong Chen , Bingjie Zhu , Jiangzhou Wang , Hyundong Shin , Arumugam Nallanathan , Dusit Niyato

This paper explores the application of large language models (LLMs) in designing strategic mechanisms -- including auctions, contracts, and games -- for specific purposes in communication networks. Traditionally, strategic mechanism design…

计算机科学与博弈论 · 计算机科学 2024-12-03 Ismail Lotfi , Nouf Alabbasi , Omar Alhussein

The planning ability of Large Language Models (LLMs) has garnered increasing attention in recent years due to their remarkable capacity for multi-step reasoning and their ability to generalize across a wide range of domains. While some…

人工智能 · 计算机科学 2025-02-19 Mohamed Aghzal , Erion Plaku , Gregory J. Stein , Ziyu Yao

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

In recent years, the integration of large language models (LLMs) has revolutionized the field of robotics, enabling robots to communicate, understand, and reason with human-like proficiency. This paper explores the multifaceted impact of…

机器人学 · 计算机科学 2024-08-16 Yeseung Kim , Dohyun Kim , Jieun Choi , Jisang Park , Nayoung Oh , Daehyung Park

Large Language Models (LLMs) have revolutionized the process of customer engagement, campaign optimization, and content generation, in marketing management. In this paper, we explore the transformative potential of LLMs along with the…

计算与语言 · 计算机科学 2025-01-22 Raha Aghaei , Ali A. Kiaei , Mahnaz Boush , Javad Vahidi , Mohammad Zavvar , Zeynab Barzegar , Mahan Rofoosheh

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

软件工程 · 计算机科学 2025-04-03 Nam Huynh , Beiyu Lin

Large language models (LLMs) and foundation models have been recently touted as a game-changer for 6G systems. However, recent efforts on LLMs for wireless networks are limited to a direct application of existing language models that were…

网络与互联网体系结构 · 计算机科学 2024-02-08 Shengzhe Xu , Christo Kurisummoottil Thomas , Omar Hashash , Nikhil Muralidhar , Walid Saad , Naren Ramakrishnan

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…

机器学习 · 计算机科学 2025-06-16 Feifei Shi , Xueyan Yin , Kang Wang , Wanyu Tu , Qifu Sun , Huansheng Ning