collaborators

5 papers

cs.CL2026

Modeling Pathology-Like Behavioral Patterns in Language Models Through Behavioral Fine-Tuning

Nicola Milano, Davide Marocco

Large language models are increasingly used as computational tools for modeling human-like behavior. We introduce a behavioral induction framework that modifies model policies thro…

cs.CR2026

Profiling User Vulnerability to Phishing Through Psychological and Behavioral Factors

Valeria Formisano, Danilo Gentile, Gennaro Esposito Mocerino +4

Phishing remains one of the most pervasive cybersecurity threats, shifting the focus from technological vulnerabilities to human cognitive and psychological factors. In coherence w…

cs.CL2026

Measuring Psychological States Through Semantic Projection: A Theory-Driven Approach to Language-Based Assessment

Maria Luongo, Davide Marocco, Nicola Milano

Recent advances in natural language processing have enabled increasingly accurate estimation of psychological traits from language. However, most existing approaches rely on superv…

q-bio.NC2026

Large Language Models as Simulative Agents for Neurodivergent Adult Psychometric Profiles

Francesco Chiappone, Davide Marocco, Nicola Milano

Adult neurodivergence, including Attention-Deficit/Hyperactivity Disorder (ADHD), high-functioning Autism Spectrum Disorder (ASD), and Cognitive Disengagement Syndrome (CDS), is ma…

cs.HC2025

Comparing Human Expertise and Large Language Models Embeddings in Content Validity Assessment of Personality Tests

Nicola Milano, Michela Ponticorvo, Davide Marocco

In this article we explore the application of Large Language Models (LLMs) in assessing the content validity of psychometric instruments, focusing on the Big Five Questionnaire (BF…