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Lorenzo Grillo

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Open access Jun 2026

Logic-Guided Data Extraction with Answer Set Programming and Large Language Models

A logic-guided data extraction framework combining LLM-based extraction with answer set programming (ASP), which reduces LLM calls and improves extraction quality by mitigating spurious outputs, demonstrating the value of non-monotonic logic programming for controlled semantic extraction.

Mario Alviano, Lorenzo Grillo, N. Leone et al. · 1 citation

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