Author

Lucio La Cava

University of Calabria

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#machine learning Preprint Oct 2026

Adaptive Frequency Threshold Byte Pair Encoding for Mixed Natural Language and Structured Symbolic Corpora

Modern language models rely on subwording tokenization to define the discrete units of input processing, typically using methods like Byte Pair Encoding (BPE) that treat whitespace as a fixed semantic boundary. This design is inherently limited, as many meaningful concepts---including multiword expressions and the stru...

Pietro Di Nicco, Lucio La Cava, Andrea Tagarelli · 0 citations

#artificial intelligence Preprint Sep 2026

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

Evaluations of Large Language Models (LLMs) morality typically consider decisions in isolation, thus overlooking whether an individual's unrelated prior conduct influences the model's subsequent choices. This leaves open the question of whether, and to what extent, moral history shapes LLM decisional behaviors. Prior w...

Lucio La Cava, Andrea Tagarelli · 0 citations

#artificial intelligence Review Jan 2026

Culturally Grounded Personas in Large Language Models: Characterization and Alignment with Socio-Psychological Value Frameworks

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 systems across different cultural conditionings remains uncertain. This paper investigates the alignment of synthetic, culturally-grounded pers...

C. M. Greco, Lucio La Cava, Andrea Tagarelli · arXiv.org · 3 citations