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cs.LG2024
LLASP: Fine-tuning Large Language Models for Answer Set Programming
Erica Coppolillo, Francesco Calimeri, Giuseppe Manco +2
Recently, Large Language Models (LLMs) have showcased their potential in various natural language processing tasks, including code generation. However, while significant progress h…
cs.LG2023
Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
Pierangela Bruno, Francesco Calimeri, Cinzia Marte +1
Although the availability of a large amount of data is usually given for granted, there are relevant scenarios where this is not the case; for instance, in the biomedical/healthcar…