5 papers
BLAST: Benchmarking LLMs with ASP-based Structured Testing
Manuel Alejandro Borroto Santana, Erica Coppolillo, Francesco Calimeri +3
Large Language Models (LLMs) have demonstrated remarkable performance across a broad spectrum of tasks, including natural language understanding, dialogue systems, and code generat…
Disrupting Networks: Amplifying Social Dissensus via Opinion Perturbation and Large Language Models
Erica Coppolillo, Giuseppe Manco
We study how targeted content injection can strategically disrupt social networks. Using the Friedkin-Johnsen (FJ) model, we utilize a measure of social dissensus and show that (i)…
Flexible Generation of Preference Data for Recommendation Analysis
Simone Mungari, Erica Coppolillo, Ettore Ritacco +1
Simulating a recommendation system in a controlled environment, to identify specific behaviors and user preferences, requires highly flexible synthetic data generation models capab…
Unmasking Conversational Bias in AI Multiagent Systems
Erica Coppolillo, Giuseppe Manco, Luca Maria Aiello
Detecting biases in the outputs produced by generative models is essential to reduce the potential risks associated with their application in critical settings. However, the majori…
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation
Daniela Gallo, Angelica Liguori, Ettore Ritacco +3
To achieve accurate and unbiased predictions, Machine Learning (ML) models rely on large, heterogeneous, and high-quality datasets. However, this could raise ethical and legal conc…