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cs.LG2024
CAP: Detecting Unauthorized Data Usage in Generative Models via Prompt Generation
Daniela Gallo, Angelica Liguori, Ettore Ritacco +3
To achieve accurate and unbiased predictions, Machine Learning (ML) models rely on large, heterogeneous, and high-quality datasets. However, this could raise ethical and legal conc…
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…