8 citations · 11 across the 10 of their papers we have counts for
3 papers · 1 filter
Exploiting Preference Elicitation in Interactive and User-centered Algorithmic Recourse: An Initial Exploration
Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri +3
Algorithmic Recourse aims to provide actionable explanations, or recourse plans, to overturn potentially unfavourable decisions taken by automated machine learning models. In this…
Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph
Marco Bronzini, Carlo Nicolini, Bruno Lepri +2
Large Language Models (LLMs) demonstrate an impressive capacity to recall a vast range of factual knowledge. However, understanding their underlying reasoning and internal mechanis…
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain
Burcu Sayin, Pasquale Minervini, Jacopo Staiano +1
We explore the potential of Large Language Models (LLMs) to assist and potentially correct physicians in medical decision-making tasks. We evaluate several LLMs, including Meditron…