10 papers
On the Effects of Decentralized Moderation on Network Robustness and Information Diffusion in Mastodon
Beatriz Arregui-GarcÃa, Lucio La Cava, Anees Baqir +3
Decentralized online social networks such as Mastodon distribute moderation power across thousands of independently governed servers, raising fundamental questions about how local…
Authorship Attribution in Multilingual Machine-Generated Texts
Lucio La Cava, Dominik Macko, Róbert Móro +2
As Large Language Models (LLMs) have reached human-like fluency and coherence, distinguishing machine-generated text (MGT) from human-written content becomes increasingly difficult…
Toward Preference-aligned Large Language Models via Residual-based Model Steering
Lucio La Cava, Andrea Tagarelli
Preference alignment is a critical step in making Large Language Models (LLMs) useful and aligned with (human) preferences. Existing approaches such as Reinforcement Learning from…
Luminol-AIDetect: Fast Zero-shot Machine-Generated Text Detection based on Perplexity under Text Shuffling
Lucio La Cava, Andrea Tagarelli
Machine-generated text (MGT) detection requires identifying structurally invariant signals across generation models, rather than relying on model-specific fingerprints. In this res…
Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks
Candida M. Greco, Lucio La Cava, Andrea Tagarelli
Despite the growing utility of Large Language Models (LLMs) for simulating human behavior, the extent to which these synthetic personas accurately reflect world and moral value sys…
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
Lucio La Cava, Luca Maria Aiello, Andrea Tagarelli
Generative Artificial Intelligence is reshaping online communication by enabling large-scale production of Machine-Generated Text (MGT) at low cost. While its presence is rapidly g…