7 papers
From Who They Are to How They Act: Behavioral Traits in Generative Agent-Based Models of Social Media
Valerio La Gatta, Gian Marco Orlando, Marco Perillo +2
Generative Agent-Based Modeling (GABM) leverages Large Language Models to create autonomous agents that simulate human behavior in social media environments, demonstrating potentia…
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…
Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations
Gian Marco Orlando, Jinyi Ye, Valerio La Gatta +4
Generative agents are rapidly advancing in sophistication, raising urgent questions about how they might coordinate when deployed in online ecosystems. This is particularly consequ…
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…
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…
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…