5 citations · 12 across the 14 of their papers we have counts for
14 papers
Can "AI" Be a Doctor? A Study of Empathy, Readability, and Alignment in Clinical LLMs
Mariano Barone, Francesco Di Serio, Roberto Moio +4
Large Language Models (LLMs) are increasingly deployed in healthcare, yet their communicative alignment with clinical standards remains insufficiently quantified. We conduct a mult…
Brain3D: Brain Report Automation via Inflated Vision Transformers in 3D
Mariano Barone, Francesco Di Serio, Giuseppe Riccio +4
Current medical vision-language models (VLMs) process volumetric brain MRI using 2D slice-based approximations, fragmenting the spatial context required for accurate neuroradiologi…
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…
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…
SOLVE-Med: Specialized Orchestration for Leading Vertical Experts across Medical Specialties
Roberta Di Marino, Giovanni Dioguardi, Antonio Romano +5
Medical question answering systems face deployment challenges including hallucinations, bias, computational demands, privacy concerns, and the need for specialized expertise across…
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…
DART: A Structured Dataset of Regulatory Drug Documents in Italian for Clinical NLP
Mariano Barone, Antonio Laudante, Giuseppe Riccio +3
The extraction of pharmacological knowledge from regulatory documents has become a key focus in biomedical natural language processing, with applications ranging from adverse event…
IMB: An Italian Medical Benchmark for Question Answering
Antonio Romano, Giuseppe Riccio, Mariano Barone +2
Online medical forums have long served as vital platforms where patients seek professional healthcare advice, generating vast amounts of valuable knowledge. However, the informal n…
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
Mariano Barone, Antonio Romano, Giuseppe Riccio +2
Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses risks to public health and trust in medical systems. While machine learning and natural language…
Combining Evidence and Reasoning for Biomedical Fact-Checking
Mariano Barone, Antonio Romano, Giuseppe Riccio +2
Misinformation in healthcare, from vaccine hesitancy to unproven treatments, poses risks to public health and trust in medical systems. While machine learning and natural language…
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…
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…
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…
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…