activity
20242026
most citedAgent-Based Modelling Meets Generative AI in Social Network Simulations

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Are LLMs Ready for TOON? Benchmarking Structural Correctness-Sustainability Trade-offs in Novel Structured Output Formats

Elio Masciari, Vincenzo Moscato, Enea Vincenzo Napolitano +3

Large Language Models (LLMs) are increasingly required to generate structured, machine-readable outputs for downstream systems. While recent benchmarks have focused on evaluating t…

cs.CY2025

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database

Diego Russo, Gian Marco Orlando, Valerio La Gatta +1

Artificial Intelligence (AI) systems are transforming critical sectors such as healthcare, finance, and transportation, enhancing operational efficiency and decision-making process…

cs.CL2025

Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking

Luigia Costabile, Gian Marco Orlando, Valerio La Gatta +1

The growing spread of online misinformation has created an urgent need for scalable, reliable fact-checking solutions. Crowdsourced fact-checking - where non-experts evaluate claim…

cs.SI2025

Can Generative Agent-Based Modeling Replicate the Friendship Paradox in Social Media Simulations?

Gian Marco Orlando, Valerio La Gatta, Diego Russo +1

Generative Agent-Based Modeling (GABM) is an emerging simulation paradigm that combines the reasoning abilities of Large Language Models with traditional Agent-Based Modeling to re…

cs.SI20241 cited

Agent-Based Modelling Meets Generative AI in Social Network Simulations

Antonino Ferraro, Antonio Galli, Valerio La Gatta +6

Agent-Based Modelling (ABM) has emerged as an essential tool for simulating social networks, encompassing diverse phenomena such as information dissemination, influence dynamics, a…