8 citations · 9 across the 3 of their papers we have counts for
4 papers
Empowering Users in Graph Rule Mining via Large Language Models
Francesco Cambria, Francesco Invernici, Andrea Colombo +1
In the era of interconnected data, graphs have emerged as an effective abstraction for modeling complex systems in an intuitive format, especially with the rise of Property Graphs,…
Leveraging Knowledge Graphs and LLMs to Support and Monitor Legislative Systems
Andrea Colombo
Knowledge Graphs (KGs) have been used to organize large datasets into structured, interconnected information, enhancing data analytics across various fields. In the legislative con…
Modelling Legislative Systems into Property Graphs to Enable Advanced Pattern Detection
Andrea Colombo, Anna Bernasconi, Stefano Ceri
Legislative systems face growing complexity due to the ever-increasing number of laws and intricate interdependencies between them. Traditional methods of storing and analyzing leg…
Fine-tuning Large Enterprise Language Models via Ontological Reasoning
Teodoro Baldazzi, Luigi Bellomarini, Stefano Ceri +3
Large Language Models (LLMs) exploit fine-tuning as a technique to adapt to diverse goals, thanks to task-specific training data. Task specificity should go hand in hand with domai…