14 citations · 14 across the 6 of their papers we have counts for
6 papers
Pay Attention to What Matters
Pedro Luiz Silva, Antonio de Domenico, Ali Maatouk +1
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…
Linguistic Intelligence in Large Language Models for Telecommunications
Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico +1
Large Language Models (LLMs) have emerged as a significant advancement in the field of Natural Language Processing (NLP), demonstrating remarkable capabilities in language generati…
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge
Ali Maatouk, Fadhel Ayed, Nicola Piovesan +3
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,…
Throughput and Coverage Trade-Off in Integrated Terrestrial and Non-Terrestrial Networks: an Optimization Framework
Henri Alam, Antonio De Domenico, David López-Pérez +1
In past years, non-terrestrial networks (NTNs) have emerged as a viable solution for providing ubiquitous connectivity for future wireless networks due to their ability to reach la…
Energy efficient cell-free massive MIMO on 5G deployments: sleep modes strategies and user stream management
F. Riera-Palou, G. Femenias, D. López-Pérez +2
This paper proposes the utilization of cell-free massive MIMO (CF-M-MIMO) processing on top of the regular micro/macrocellular deployments typically found in current 5G networks. T…
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks
Fadhel Ayed, Antonio De Domenico, Adrian Garcia-Rodriguez +1
In this article, we advocate for the design of ad hoc artificial intelligence (AI)/machine learning (ML) models to facilitate their usage in future smart infrastructures based on c…