6 papers
Towards Detecting Inconsistencies in End-to-end Generated TODs
Tiziano Labruna, Giovanni Bonetta, Bernardo Magnini
Generative AI is profoundly transforming the core technologies behind conversational systems, shifting from component-based to end-to-end approaches. However, Large Language Models…
eCREAM-MedCorpus A Large-Scale Corpus of Clinical Notes for Italian
Tiziano Labruna, Guido Bertolini, Pietro Ferrazzi +1
We present eCREAM-MedCorpus, a new and unique large-scale dataset of clinical notes produced in Emergency Departments of Italian hospitals. The corpus, in its current version, is c…
MALicious INTent Dataset and Inoculating LLMs for Enhanced Disinformation Detection
Arkadiusz Modzelewski, Witold Sosnowski, Eleni Papadopulos +4
The intentional creation and spread of disinformation poses a significant threat to public discourse. However, existing English datasets and research rarely address the intentional…
Detecting Winning Arguments with Large Language Models and Persuasion Strategies
Tiziano Labruna, Arkadiusz Modzelewski, Giorgio Satta +1
Detecting persuasion in argumentative text is a challenging task with important implications for understanding human communication. This work investigates the role of persuasion st…
PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
Arkadiusz Modzelewski, Witold Sosnowski, Tiziano Labruna +2
Disinformation detection is a key aspect of media literacy. Psychological studies have shown that knowledge of persuasive fallacies helps individuals detect disinformation. Inspire…
Positional Bias in Binary Question Answering: How Uncertainty Shapes Model Preferences
Tiziano Labruna, Simone Gallo, Giovanni Da San Martino
Positional bias in binary question answering occurs when a model systematically favors one choice over another based solely on the ordering of presented options. In this study, we…