Motivated by the growing role of AI in text generation and the potential misuse of generative
tools, this study investigates key features that differentiate AI-generated text from human …

This paper illustrates the architecture and training of Unipa-GPT, a Large Language Model
based chatbot developed for assisting students in choosing a bachelor/master degree …

Although the Transformer is currently the best-performing architecture in the homogeneous
configuration (self-attention only) in Neural Machine Translation, many State-of-the-Art …

In this work, we present an example of how a relatively small Large Language Model (LLM)
fine-tuned to perform a simple and well defined task (assigning titles to news articles) could …

IT service providers need to take care of errors, malfunctions, customizations and other
issues every day. This is usually done through tickets: brief reports that describe a technical …

This paper delves into Interactive Grounded Language Understanding (IGLU) problems
within the context of Human-Robot Interaction (HRI), where a robot interprets user …

Assessing the quality of topics extracted from large text datasets presents a significant
challenge in the field of computational social science. This research examines the …

Risk communication is one of the most delicate dialogues within the healthcare domain.
Such delicacy is given by the nature of the topics treated within these dialogues and the …

Many medical applications are envisioned for Large Language Models (LLMs), such as the
automated summary of the health condition of a patient, or the automated codification of …

Nowadays, the convergence of Artificial Intelligence and data privacy is of crucial
importance. This paper introduces NERPII, a Python library utilizing Named Entity …