3 papers
cs.MA2026
Who Are You Explaining To? A Multi-Agent System for Audience-Aware XAI Narratives
Francesco Musicco, Danilo Danese, Giuseppe Fasano +3
Feature-attribution methods such as SHAP provide useful evidence about individual model predictions, but their numerical outputs are rarely sufficient for audiences with different…
cs.AI2026
The EpisTwin: A Knowledge Graph-Grounded Neuro-Symbolic Architecture for Personal AI
Giovanni Servedio, Potito Aghilar, Alessio Mattiace +6
Personal Artificial Intelligence is currently hindered by the fragmentation of user data across isolated silos. While Retrieval-Augmented Generation offers a partial remedy, its re…
cs.AI2026
RUVA: Personalized Transparent On-Device Graph Reasoning
Gabriele Conte, Alessio Mattiace, Gianni Carmosino +6
The Personal AI landscape is currently dominated by "Black Box" Retrieval-Augmented Generation. While standard vector databases offer statistical matching, they suffer from a funda…