Per anno
6
presentazioni
/
2024
/
Matteo Magnini
- Enforcing Fairness via Constraint Injection with FaUCI (presentazione, AEQUITAS 2024) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- We Were Deep in NeSy When LLM Happened (invitata, Large and Small Language Models: stato dell’arte fra limiti e prospettive) — Andrea Omicini (Andrea Omicini, Andrea Agiollo, Giovanni Ciatto, Matteo Magnini)
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (presentazione, WOA 2024) — Andrea Agiollo (Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini)
- Actively Learning Ontologies from LLMs: First Results (presentazione, DL 2024) — Matteo Magnini (Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi)
- Large Language Models as Oracles for Instantiating Ontologies with Domain-Specific Knowledge (progetto, ENGINES Kick-off Meeting) — Giovanni Ciatto (Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini)
- Mitigating Intersectional Fairness: a Practical Approach with FaUCI (presentazione, AIMMES 2024) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
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