57 citations · 77 across the 5 of their papers we have counts for
6 papers
MeMo: Towards Language Models with Associative Memory Mechanisms
Fabio Massimo Zanzotto, Elena Sofia Ruzzetti, Giancarlo A. Xompero +6
Memorization is a fundamental ability of Transformer-based Large Language Models, achieved through learning. In this paper, we propose a paradigm shift by designing an architecture…
Enhancing Data Privacy in Large Language Models through Private Association Editing
Davide Venditti, Elena Sofia Ruzzetti, Giancarlo A. Xompero +4
Large language models (LLMs) require a significant redesign in solutions to preserve privacy in data-intensive applications due to their text-generation capabilities. Indeed, LLMs…
Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation
Federico Ranaldi, Elena Sofia Ruzzetti, Dario Onorati +5
Understanding textual description to generate code seems to be an achieved capability of instruction-following Large Language Models (LLMs) in zero-shot scenario. However, there is…
Every time I fire a conversational designer, the performance of the dialog system goes down
Giancarlo A. Xompero, Michele Mastromattei, Samir Salman +4
Incorporating explicit domain knowledge into neural-based task-oriented dialogue systems is an effective way to reduce the need of large sets of annotated dialogues. In this paper,…
Almawave-SLU: A new dataset for SLU in Italian
Valentina Bellomaria, Giuseppe Castellucci, Andrea Favalli +1
The widespread use of conversational and question answering systems made it necessary to improve the performances of speaker intent detection and understanding of related semantic…
Multi-lingual Intent Detection and Slot Filling in a Joint BERT-based Model
Giuseppe Castellucci, Valentina Bellomaria, Andrea Favalli +1
Intent Detection and Slot Filling are two pillar tasks in Spoken Natural Language Understanding. Common approaches adopt joint Deep Learning architectures in attention-based recurr…