Zobrazeno 1 - 10
of 8 071
pro vyhledávání: '"Fadhel, A."'
Autor:
Ayed, Fadhel, Maatouk, Ali, Piovesan, Nicola, De Domenico, Antonio, Debbah, Merouane, Luo, Zhi-Quan
The drive toward automating cellular network operations has grown with the increasing complexity of these systems. Despite advancements, full autonomy currently remains out of reach due to reliance on human intervention for modeling network behaviors
Externí odkaz:
http://arxiv.org/abs/2411.06490
Despite the remarkable success of Large Language Models (LLMs), they still exhibit a limited capability to align their outputs to the user instructions. In this work, we introduce a simple and effective method, which we name GUIDE, that mechanistical
Externí odkaz:
http://arxiv.org/abs/2409.19001
The application of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems in the telecommunication domain presents unique challenges, primarily due to the complex nature of telecom standard documents and the rapid evolution of
Externí odkaz:
http://arxiv.org/abs/2404.15939
The increasing interest in Large Language Models (LLMs) within the telecommunications sector underscores their potential to revolutionize operational efficiency. However, the deployment of these sophisticated models is often hampered by their substan
Externí odkaz:
http://arxiv.org/abs/2403.04666
Autor:
Fadhel, Shareefa
Publikováno v:
Archnet-IJAR: International Journal of Architectural Research, 2024, Vol. 18, Issue 3, pp. 654-671.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ARCH-09-2023-0257
As deep learning models become increasingly large, they pose significant challenges in heterogeneous devices environments. The size of deep learning models makes it difficult to deploy them on low-power or resource-constrained devices, leading to lon
Externí odkaz:
http://arxiv.org/abs/2310.20457
Autor:
Maatouk, Ali, Ayed, Fadhel, Piovesan, Nicola, De Domenico, Antonio, Debbah, Merouane, Luo, Zhi-Quan
We introduce TeleQnA, the first benchmark dataset designed to evaluate the knowledge of Large Language Models (LLMs) in telecommunications. Comprising 10,000 questions and answers, this dataset draws from diverse sources, including standards and rese
Externí odkaz:
http://arxiv.org/abs/2310.15051
Publikováno v:
AIMS Electronics and Electrical Engineering, Vol 8, Iss 4, Pp 456-477 (2024)
This paper contributes to the design of a modified rectangular-shaped metamaterial with a tri-band coverage for reflection and transmission coefficients. Two symmetrical rectangular split ring resonators (SRR) were carefully engineered and then conne
Externí odkaz:
https://doaj.org/article/62b10fe425d947ae838d5568433263a6
Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and garnering unpreced
Externí odkaz:
http://arxiv.org/abs/2308.06013
This paper considers an anomaly detection problem in which a detection algorithm assigns anomaly scores to multi-dimensional data points, such as cellular networks' Key Performance Indicators (KPIs). We propose an optimization framework to refine the
Externí odkaz:
http://arxiv.org/abs/2304.11039