13 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.CL2024★ 13 cited
XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models
Erik Cambria, Lorenzo Malandri, Fabio Mercorio +2
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 bus…
cs.CL2024★ 1 cited
Disce aut Deficere: Evaluating LLMs Proficiency on the INVALSI Italian Benchmark
Fabio Mercorio, Mario Mezzanzanica, Daniele Potertì +2
Recent advancements in Large Language Models (LLMs) have significantly enhanced their ability to generate and manipulate human language, highlighting their potential across various…