1 citations · 1 across the 4 of their papers we have counts for
6 papers
What out-of-the-box LLMs can(t) do in law? A Turing test in Italian exams for lawyers, judges and notaries
Germana Bertoli, Ilaria Amelia Caggiano, Francesca Lagioia +3
The article reports on a blind Turing Test experiment, assessing the performance of out-of-the-box leading LLMs on three Italian legal professional exams: the Bar, Judges and Notar…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
Towards Reliable Retrieval in RAG Systems for Large Legal Datasets
Markus Reuter, Tobias Lingenberg, Rūta Liepiņa +5
Retrieval-Augmented Generation (RAG) is a promising approach to mitigate hallucinations in Large Language Models (LLMs) for legal applications, but its reliability is critically de…
No More Trade-Offs. GPT and Fully Informative Privacy Policies
Przemysław Pałka, Marco Lippi, Francesca Lagioia +2
The paper reports the results of an experiment aimed at testing to what extent ChatGPT 3.5 and 4 is able to answer questions regarding privacy policies designed in the new format t…
Memory networks for consumer protection:unfairness exposed
Federico Ruggeri, Francesca Lagioia, Marco Lippi +1
Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents. However, a shortcoming of data-dri…
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service
Marco Lippi, Przemyslaw Palka, Giuseppe Contissa +4
Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to…