50 citations · 240 across the 54 of their papers we have counts for
6 papers · 1 filter
TelecomGPT-R1: Unified Post-Training for Reasoning Across Heterogeneous Telecom Tasks
Bohao Wang, Chenwei Wu, Hang Zou +7
Large language models (LLMs) offer great potential to automate a broad range of telecom engineering tasks by reasoning over standards, network configurations, mathematical models,…
TelecomGPT-R1: A Unified Open-Source Reasoner for the Telecom Stack
Bohao Wang, Chenwei Wu, Haoyu Li +8
Telecommunications is a high-leverage domain for large language model (LLM)-based reasoning because routine engineering workflows require joint grounding in normative specification…
TelcoAgent-Bench: A Multilingual Benchmark for Telecom AI Agents
Lina Bariah, Brahim Mefgouda, Farbod Tavakkoli +3
The integration of large language model (LLM) agents into telecom networks introduces new challenges, related to intent recognition, tool execution, and resolution generation, whil…
TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
Nouf Alabbasi, Omar Erak, Omar Alhussein +3
The telecommunications industry's rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language model…
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards
Omar Erak, Nouf Alabbasi, Omar Alhussein +4
Recent studies show that large language models (LLMs) struggle with technical standards in telecommunications. We propose a fine-tuned retrieval-augmented generation (RAG) system b…
Generative AI for Immersive Communication: The Next Frontier in Internet-of-Senses Through 6G
Nassim Sehad, Lina Bariah, Wassim Hamidouche +3
Over the past two decades, the Internet-of-Things (IoT) has become a transformative concept, and as we approach 2030, a new paradigm known as the Internet of Senses (IoS) is emergi…