12 citations · 23 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Contrastive Learning and Adversarial Disentanglement for Privacy-Aware Task-Oriented Semantic Communication
Omar Erak, Omar Alhussein, Wen Tong
Task-oriented semantic communication systems have emerged as a promising approach to achieving efficient and intelligent data transmission in next-generation networks, where only i…
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…
Large Language Model-Driven Curriculum Design for Mobile Networks
Omar Erak, Omar Alhussein, Shimaa Naser +3
This study introduces an innovative framework that employs large language models (LLMs) to automate the design and generation of curricula for reinforcement learning (RL). As mobil…