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SPIN Processed News Frame: The Hype
Logic-Guided Data Extraction with Answer Set Programming and Large Language Models
A new research paper proposes a hybrid framework that combines large language models with answer set programming to improve reliability and efficiency in semantic data extraction from unstructured text.
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arXiv Artificial Intelligence
Jul 23, 2026
SPIN Processed News Frame: The Hype
EZSMT Version 3, Matured
EZSMTV3 is a new version of an SMT-based Constraint Answer Set Programming framework that extends expressiveness, adds optimization support, and integrates with mainstream SMT solvers for combinatorial search problems.
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arXiv Artificial Intelligence
Jul 16, 2026