[HTML][HTML] Large language models meet next-generation networking technologies: A review

CN Hang, PD Yu, R Morabito, CW Tan - Future Internet, 2024 - mdpi.com
The evolution of network technologies has significantly transformed global communication,
information sharing, and connectivity. Traditional networks, relying on static configurations …

Telco-RAG: Navigating the challenges of retrieval-augmented language models for telecommunications

AL Bornea, F Ayed, A De Domenico… - arXiv preprint arXiv …, 2024 - arxiv.org
The application of Large Language Models (LLMs) and Retrieval-Augmented Generation
(RAG) systems in the telecommunication domain presents unique challenges, primarily due …

Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

O Erak, N Alabbasi, O Alhussein, I Lotfi… - arXiv preprint arXiv …, 2024 - arxiv.org
Recent studies show that large language models (LLMs) struggle with technical standards in
telecommunications. We propose a fine-tuned retrieval-augmented generation (RAG) …

TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network

N Alabbasi, O Erak, O Alhussein, I Lotfi… - arXiv preprint arXiv …, 2024 - arxiv.org
The telecommunications industry's rapid evolution demands intelligent systems capable of
managing complex networks and adapting to emerging technologies. While large language …

TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP Specifications

R Nikbakht, M Benzaghta, G Geraci - arXiv preprint arXiv:2406.01768, 2024 - arxiv.org
Understanding telecom standards involves sorting through numerous technical documents,
such as those produced by the 3rd Generation Partnership Project (3GPP), which is time …

First Token Probability Guided RAG for Telecom Question Answering

T Chen, J Chen, Z Zhao, H Chen, L Zhang… - arXiv preprint arXiv …, 2025 - arxiv.org
Large Language Models (LLMs) have garnered significant attention for their impressive
general-purpose capabilities. For applications requiring intricate domain knowledge …

Deploying On-device AIGC Inference Services in 6G via Optimal MEC-device Offloading

C Zhou, W Liu, T Han, N Ansari - IEEE Networking Letters, 2024 - ieeexplore.ieee.org
From AI-assisted art creation to large language model (LLM)-powered ChatGPT, AI-
generated contents and services are becoming a transforming force. It calls for the telecom …

Towards Wireless-Native Big AI Model: Insights into Its Ambitions, Peculiarities and Methodologies

Z Chen, Z Zhang, C Liu, Z Xing - arXiv preprint arXiv:2412.09041, 2024 - arxiv.org
Researches on leveraging big artificial intelligence model (BAIM) technology to drive the
intelligent evolution of wireless networks are emerging. However, since the breakthrough in …