most citedTelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

7 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2025

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

cs.IT2025

Electromagnetic Channel Modeling and Capacity Analysis for HMIMO Communications

Li Wei, Shuai S. A. Yuan, Chongwen Huang +6

Advancements in emerging technologies, e.g., reconfigurable intelligent surfaces and holographic MIMO (HMIMO), facilitate unprecedented manipulation of electromagnetic (EM) waves,…

eess.SP20247 cited

TelecomGPT: A Framework to Build Telecom-Specfic Large Language Models

Hang Zou, Qiyang Zhao, Yu Tian +4

Large Language Models (LLMs) have the potential to revolutionize the Sixth Generation (6G) communication networks. However, current mainstream LLMs generally lack the specialized k…

cs.IT2024

RIS-assisted Coverage Enhancement in mmWave Integrated Sensing and Communication Networks

Xu Gan, Chongwen Huang, Zhaohui Yang +6

Integrated sensing and communication (ISAC) has emerged as a promising technology to facilitate high-rate communications and super-resolution sensing, particularly operating in the…

cs.IT2024

Robust Beamforming with Gradient-based Liquid Neural Network

Xinquan Wang, Fenghao Zhu, Chongwen Huang +5

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) communication with the advanced beamforming technologies is a key enabler to meet the growing demands of future mobil…