10 citations · 11 across the 9 of their papers we have counts for
10 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…
Unexpected Knowledge: Auditing Wikipedia and Grokipedia Search Recommendations
Erica Coppolillo, Simone Mungari
Encyclopedic knowledge platforms are key gateways through which users explore information online. The recent release of Grokipedia, a fully AI-generated encyclopedia, introduces a…
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)…
Injecting Knowledge Graphs into Large Language Models
Erica Coppolillo
Integrating structured knowledge from Knowledge Graphs (KGs) into Large Language Models (LLMs) remains a key challenge for symbolic reasoning. Existing methods mainly rely on promp…
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…
Engagement-Driven Content Generation with Large Language Models
Erica Coppolillo, Federico Cinus, Marco Minici +2
Large Language Models (LLMs) demonstrate significant persuasive capabilities in one-on-one interactions, but their influence within social networks, where interconnected users and…
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
Erica Coppolillo, Simone Mungari, Ettore Ritacco +4
Digital platforms such as social media and e-commerce websites adopt Recommender Systems to provide value to the user. However, the social consequences deriving from their adoption…
Relevance meets Diversity: A User-Centric Framework for Knowledge Exploration through Recommendations
Erica Coppolillo, Giuseppe Manco, Aristides Gionis
Providing recommendations that are both relevant and diverse is a key consideration of modern recommender systems. Optimizing both of these measures presents a fundamental trade-of…
LLASP: Fine-tuning Large Language Models for Answer Set Programming
Erica Coppolillo, Francesco Calimeri, Giuseppe Manco +2
Recently, Large Language Models (LLMs) have showcased their potential in various natural language processing tasks, including code generation. However, while significant progress h…
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…