1 citations · 1 across the 4 of their papers we have counts for
4 papers
LLM-as-an-Investigator: Evidence-First Agentic Reasoning for Robust Interactive Problem Diagnosis
Fabrizio Marozzo, Pietro Liò
Large language models (LLMs) are used for technical troubleshooting, where problem descriptions are often incomplete and multiple causes can explain the same symptoms. Effective di…
A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Transformer-Based Language Models
Michail Mamalakis, Tiago Azevedo, Cristian Cosentino +5
Interpretability remains a key challenge for deploying language models (LM) in clinical settings such as progression diagnosis of Alzheimer disease, where early and trustworthy pre…
HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways
Cristian Cosentino, Annamaria Defilippo, Marco Dossena +3
HealthBranches is a novel benchmark dataset for medical Question-Answering (Q&A), specifically designed to evaluate complex reasoning in Large Language Models (LLMs). This dataset…
Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI
Hugo Georgenthum, Cristian Cosentino, Fabrizio Marozzo +1
The automatic summarization of surgical videos is essential for enhancing procedural documentation, supporting surgical training, and facilitating post-operative analysis. This pap…