8 citations · 15 across the 15 of their papers we have counts for
6 papers · 1 filter
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni, Stefano Teso, Bruno Lepri +1
Algorithmic Recourse (AR) aims to provide users with actionable steps to overturn unfavourable decisions made by machine learning predictors. However, these actions often take time…
I Want to Break Free! Persuasion and Anti-Social Behavior of LLMs in Multi-Agent Settings with Social Hierarchy
Gian Maria Campedelli, Nicolò Penzo, Massimo Stefan +4
As LLM-based agents become increasingly autonomous and will more freely interact with each other, studying the interplay among them becomes crucial to anticipate emergent phenomena…
Hopfield Networks for Asset Allocation
Carlo Nicolini, Monisha Gopalan, Jacopo Staiano +1
We present the first application of modern Hopfield networks to the problem of portfolio optimization. We performed an extensive study based on combinatorial purged cross-validatio…
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…
The Garden of Forking Paths: Observing Dynamic Parameters Distribution in Large Language Models
Carlo Nicolini, Jacopo Staiano, Bruno Lepri +1
A substantial gap persists in understanding the reasons behind the exceptional performance of the Transformer architecture in NLP. A particularly unexplored area involves the mecha…