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XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Autor: Cambria, Erik, Malandri, Lorenzo, Mercorio, Fabio, Nobani, Navid, Seveso, Andrea

In this survey, we address the key challenges in Large Language Models (LLM) research, focusing on the importance of interpretability. Driven by increasing interest from AI and business sectors, we highlight the need for transparency in LLMs. We exam

Externí odkaz: http://arxiv.org/abs/2407.15248

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Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark

Autor: Mercorio, Fabio, Mezzanzanica, Mario, Potertì, Daniele, Serino, Antonio, Seveso, Andrea

Recent advancements in Large Language Models (LLMs) have significantly enhanced their ability to generate and manipulate human language, highlighting their potential across various applications. Evaluating LLMs in languages other than English is cruc

Externí odkaz: http://arxiv.org/abs/2406.17535

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Akademický článek

Prospective observational study on the efficacy and tolerability of a complex of phytochemicals vs. dutasteride in the treatment of lower urinary tract symptoms due to benign prostatic hyperplasia

Autor: Giuseppe Saitta, Franco A. Mantovani, Benedetto Calabrese, Camilla Aliboni, Giuseppe Di Paola, Attilio L. Meazza, Mauro Seveso

Publikováno v: Archivio Italiano di Urologia e Andrologia, Vol 96, Iss 3 (2024)

Introduction: The aim of our study was to treat two similar groups of patients suffering from BPH: one group with a complex based on phycocyanin, PEA and selenium; the other group with dutasteride. So the effectiveness of these treatments was checked

Externí odkaz: https://doaj.org/article/ebc0ea72879c467a99163d5dbac83764

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