Luca Anselma — accepted AI-conference papers

2025

Can Large Language Models Personalize Dialogues to Generational Styles?

Pier Felice Balestrucci, Ondrej Dusek, Luca Anselma, Alessandro Mazzei

EMNLP 2025

We investigate how large language models (LLMs) can produce personalized dialogue responses, specifically focusing on whether they reflect linguistic styles pertaining to different generations: Baby Boomers, Generation X, Generation Y, and Generation Z. We create P-MultiWoZ, a personalized, generati

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2024

Educational Dialogue Systems for Visually Impaired Students: Introducing a Task-Oriented User-Agent Corpus

Elisa Di Nuovo, Manuela Sanguinetti, Pier Felice Balestrucci, Luca Anselma, Cristian Bernareggi, Alessandro Mazzei

COLING 2024main

This paper describes a corpus consisting of real-world dialogues in English between users and a task-oriented conversational agent, with interactions revolving around the description of finite state automata. The creation of this corpus is part of a larger research project aimed at developing tools…

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