activity
20242026
most citedAI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

3 citations · 4 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Open Platform Field Experiments: Expanding the Design Space of Experimental Research on Social Media

Jordi Guillem Condom-Tibau, Giovanni Puccetti, Clara Bacciu +2

Despite a growing demand for causal evidence about social media, independent researchers remain severely constrained in their ability to conduct experiments directly on online plat…

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

Stress-testing Machine Generated Text Detection: Shifting Language Models Writing Style to Fool Detectors

Andrea Pedrotti, Michele Papucci, Cristiano Ciaccio +4

Recent advancements in Generative AI and Large Language Models (LLMs) have enabled the creation of highly realistic synthetic content, raising concerns about the potential for mali…

cs.CL2025

Optimizing LLMs for Italian: Reducing Token Fertility and Enhancing Efficiency Through Vocabulary Adaptation

Luca Moroni, Giovanni Puccetti, Pere-Lluis Huguet Cabot +6

The number of pretrained Large Language Models (LLMs) is increasing steadily, though the majority are designed predominantly for the English language. While state-of-the-art LLMs c…

cs.CL2024★ 3 cited

AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

Giovanni Puccetti, Anna Rogers, Chiara Alzetta +2

Large Language Models (LLMs) are increasingly used as "content farm" models (CFMs), to generate synthetic text that could pass for real news articles. This is already happening eve…

cs.CL2024★ 1 cited

The Invalsi Benchmarks: measuring Linguistic and Mathematical understanding of Large Language Models in Italian

Giovanni Puccetti, Maria Cassese, Andrea Esuli

While Italian is a high-resource language, there are few Italian-native benchmarks to evaluate generative Large Language Models (LLMs) in this language. This work presents three ne…