Leonardo Sanna

According to our database, Leonardo Sanna authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Identity by Design? Evaluating Gender Conditioning in LLM-Generated Agent Identity Profiles.

Mattia Rampazzo, Saba Ghanbari Haez, Patrizio Bellan, Simone Magnolini, Leonardo Sanna, Mauro Dragoni

Proceedings of the Joint Proceedings of the Workshops Identity-aware AI and Awareness in Learning Agents 2025 co-located with 28th European Conference on Artificial Intelligence (ECAI 2025)., 2025

Are We Ready for Multi-agent Systems to Deliver Structured Mental Health Support? Lessons from Adapting Self-Help+ Intervention.

Leonardo Sanna, Marco Bolpagni, Valentina Fietta, Simone De Carli, Mattia Franzin, Giorgia Gavioli, Lorenzo Gios, Susanna Pardini, Anna Elena Nicoletti, Silvia Rizzi, Silvia Gabrielli, Mauro Dragoni

Proceedings of the Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning, 2025

Automated Machine Learning to Enhance Knowledge Retrieval in Retrieval-Augmented Generation Pipelines.

Matteo Magnini, Gianluca Aguzzi, Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Mauro Dragoni, Sara Montagna

Proceedings of the Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning, 2025

Exploring Large Language Models as Digital Health Coaches: A Role-Play Approach to Brief Action Planning.

Marco Bolpagni, Leonardo Sanna, Simone De Carli, Silvia Gabrielli, Mauro Dragoni

Proceedings of the Artificial Intelligence for Healthcare, and Hybrid Models for Coupling Deductive and Inductive Reasoning, 2025

VALISE: A Virtual Agent Laboratory for Instruction-Following Simulation and Evaluation of LLM-Powered Digital Health Interventions.

Marco Bolpagni, Simone De Carli, Leonardo Sanna, Mauro Dragoni, Silvia Gabrielli

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

LLM-Enriched Finite-State Chatbots for Mental Health Support: A Case Study on Self-Help+.

Leonardo Sanna, Marco Bolpagni, Valentina Fietta, Giorgia Gavioli, Mattia Franzin, Mauro Dragoni, Silvia Gabrielli

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Role-Play Large Language Models for Short Behavior Change Interventions: An Exploratory Study on Brief Action Planning.

Marco Bolpagni, Simone De Carli, Leonardo Sanna, Silvia Gabrielli, Mauro Dragoni

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

Leveraging Multi-agent Systems for Domain-Pertinence Query Classification in Informative Chatbots.

Patrizio Bellan, Saba Ghanbari Haez, Leonardo Sanna, Simone Magnolini, Mauro Dragoni

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Chain-of-Thought to Enhance Document Retrieval in Certified Medical Chatbots.

Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Saba Ghanbari Haez, Marina Segala, Monica Consolandi, Mauro Dragoni

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

"Doctor, Is It Normal?" Enabling Medical Chatbots to Provide Certified Replies to Normalcy Questions (Short Paper).

Leonardo Sanna, Simone Magnolini, Patrizio Bellan, Saba Ghanbari Haez, Marina Segala, Monica Consolandi, Mauro Dragoni

Proceedings of the 3rd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2024) co-located with the 23rd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2024), 2024

A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability.

Saba Ghanbari Haez, Marina Segala, Patrizio Bellan, Simone Magnolini, Leonardo Sanna, Monica Consolandi, Mauro Dragoni

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2020

YTTREX: Crowdsourced Analysis of YouTube's Recommender System During COVID-19 Pandemic.

Leonardo Sanna, Salvatore Romano, Giulia Corona, Claudio Agosti

Proceedings of the Information Management and Big Data, 2020