activity
20102025
most citedXAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

13 citations · 22 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CL2025

Challenging the Abilities of Large Language Models in Italian: a Community Initiative

Malvina Nissim, Danilo Croce, Viviana Patti +78

The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…

cs.CL2025

SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs

Samir Abdaljalil, Filippo Pallucchini, Andrea Seveso +3

Despite the state-of-the-art performance of Large Language Models (LLMs), these models often suffer from hallucinations, which can undermine their performance in critical applicati…

cs.CL2025

Designing Role Vectors to Improve LLM Inference Behaviour

Daniele Potertì, Andrea Seveso, Fabio Mercorio

The influence of personas on Large Language Models (LLMs) has been widely studied, yet their direct impact on performance remains uncertain. This work explores a novel approach to…

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.CY2024★ 1 cited

Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs

Emilio Colombo, Fabio Mercorio, Mario Mezzanzanica +1

AI and related technologies are reshaping jobs and tasks, either by automating or augmenting human skills in the workplace. Many researchers have been working on estimating if and…

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…

cs.AI2010★ 7 cited

Resource-Optimal Planning For An Autonomous Planetary Vehicle

Giuseppe Della Penna, Benedetto Intrigila, Daniele Magazzeni +1

Autonomous planetary vehicles, also known as rovers, are small autonomous vehicles equipped with a variety of sensors used to perform exploration and experiments on a planet's surf…