1 citations · 1 across the 4 of their papers we have counts for
4 papers
Comparing Human and Large Language Model Interpretation of Implicit Information
Antonio De Santis, Tommaso Bonetti, Andrea Tocchetti +1
The interpretation of implicit meanings is an integral aspect of human communication. However, this framework may not transfer to interactions with Large Language Models (LLMs). To…
LLM-Enhanced Semantic Data Integration of Electronic Component Qualifications in the Aerospace Domain
Antonio De Santis, Marco Balduini, Matteo Belcao +3
Large manufacturing companies face challenges in information retrieval due to data silos maintained by different departments, leading to inconsistencies and misalignment across dat…
Learning Concept Bottleneck Models from Mechanistic Explanations
Antonio De Santis, Schrasing Tong, Marco Brambilla +1
Concept Bottleneck Models (CBMs) aim for ante-hoc interpretability by learning a bottleneck layer that predicts interpretable concepts before the decision. State-of-the-art approac…
Enriching Ontologies with Disjointness Axioms using Large Language Models
Elias Crum, Antonio De Santis, Manon Ovide +4
Ontologies often lack explicit disjointness declarations between classes, despite their usefulness for sophisticated reasoning and consistency checking in Knowledge Graphs. In this…