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20232026
most citedIs Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text

7 citations · 12 across the 12 of their papers we have counts for

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cs.CL2026

Echoes of Deeds: Moral History Can Shape and Steer LLM Behavioral Choices

Lucio La Cava, Andrea Tagarelli

Evaluations of Large Language Models (LLMs) morality typically consider decisions in isolation, thus overlooking whether an individual's unrelated prior conduct influences the mode…

cs.CL2026

MultiGhostBench: A Multilingual Benchmark for Long-Form LLM-Generated Text Attribution under Distribution Shifts

Matteo Greco, Anudeex Shetty, Andrea Tagarelli +1

While existing work on LLM authorship attribution (AA) has made progress, available benchmarks remain limited, often focusing on English, controlled settings, or relatively outdate…

physics.soc-ph2026

On the Effects of Decentralized Moderation on Network Robustness and Information Diffusion in Mastodon

Beatriz Arregui-García, 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…

cs.CL2026

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…

cs.CL2026

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…