Enhancing Large Language Models (llms) For Telecom Using Dynamic Knowledge Graphs And Explainable Retrieval-augmented Generation

Abstract

Large language models (LLMs) have shown strong potential across a variety of tasks, but their application in the telecom field remains challenging due to domain complexity, evolving standards, and specialized terminology. Therefore, general-domain LLMs may struggle to provide accurate and reliable outputs in this context, leading to increased hallucinations and reduced utility in telecom operation