de Zarzà, I.; de Curtò, J.; Roig, Gemma; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-06)
[EN] The increasing complexity of Multi-Agent Systems (MASs), coupled with the emergence of Artificial Intelligence (AI) and Large Language Models (LLMs), have highlighted significant gaps in our understanding of the ...
Puchol Salort, Blai(Universitat Politècnica de València, 2023-10-16)
[EN] This work proposes a parallel textual data augmentation framework for low-resource languages or low-resource domains using different technologies like Masked Language Models, Large Language Models, and Natural Language ...
de Zarzà, I.; de Curtò, J.; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-07)
[EN] This paper presents an exploration into the capabilities of an adaptive PID controller within the realm of truck platooning operations, situating the inquiry within the context of Cognitive Radio and AI-enhanced 5G ...
de Curtò, J.; de Zarzà, Irene; Roig, Gemma; Cano, Juan-Carlos; Manzoni, Pietro; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-07)
[EN] In this paper, we introduce an innovative approach to handling the multi-armed bandit (MAB) problem in non-stationary environments, harnessing the predictive power of large language models (LLMs). With the realization ...
de Curtò-I Díaz, Joaquim; de Zarzà-I Cubero, Irene; Roig, Gemma; Tavares De Araujo Cesariny Calafate, Carlos Miguel(MDPI AG, 2023-04)
[EN] This manuscript presents a new benchmark for assessing the quality of visual summaries without the need for human annotators. It is based on the Signature Transform, specifically focusing on the RMSE and the MAE ...