3 papers
cs.IR2026
Statistical Foundations of DIME: Risk Estimation for Practical Index Selection
Giulio D'Erasmo, Cesare Campagnano, Antonio Mallia +3
High-dimensional dense embeddings have become central to modern Information Retrieval, but many dimensions are noisy or redundant. Recently proposed DIME (Dimension IMportance Esti…
cs.LG2025
Enhancing XAI Narratives through Multi-Narrative Refinement and Knowledge Distillation
Flavio Giorgi, Matteo Silvestri, Cesare Campagnano +2
Explainable Artificial Intelligence has become a crucial area of research, aiming to demystify the decision-making processes of deep learning models. Among various explainability t…
cs.AI2025
Natural Language Counterfactual Explanations for Graphs Using Large Language Models
Flavio Giorgi, Cesare Campagnano, Fabrizio Silvestri +1
Explainable Artificial Intelligence (XAI) has emerged as a critical area of research to unravel the opaque inner logic of (deep) machine learning models. Among the various XAI tech…