activity
20232026
most citedInvestigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation

4 citations · 8 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm

Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio Satta

In this paper, we show the possibility of a direct injection of algorithms into neural network architecture. We focus on a complex algorithm, that is, Cocke-Youger-Kasami (CYK) for…

cs.CL2025

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…

cs.CL2025

Protoknowledge Shapes Behaviour of LLMs in Downstream Tasks: Memorization and Generalization with Knowledge Graphs

Federico Ranaldi, Andrea Zugarini, Leonardo Ranaldi +1

We introduce the concept of protoknowledge to formalize and measure how sequences of tokens encoding Knowledge Graphs are internalized during pretraining and utilized at inference…

cs.CL2025

Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations

Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto +2

Retrieval-augmented generation (RAG) is key to enhancing large language models (LLMs) to systematically access richer factual knowledge. Yet, using RAG brings intrinsic challenges,…

cs.CL2025

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…

cs.CL2024★ 4 cited

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…

cs.CL2023★ 4 cited

Exploring Linguistic Properties of Monolingual BERTs with Typological Classification among Languages

Elena Sofia Ruzzetti, Federico Ranaldi, Felicia Logozzo +3

The impressive achievements of transformers force NLP researchers to delve into how these models represent the underlying structure of natural language. In this paper, we propose a…