Viviane Torres da Silva
2024
Deductive Verification of LLM Generated SPARQL Queries
Alexandre Rademaker
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Guilherme Lima
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Sandro Rama Fiorini
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Viviane Torres da Silva
Proceedings of the Workshop on Deep Learning and Linked Data (DLnLD) @ LREC-COLING 2024
Considering the increasing applications of Large Language Models (LLMs) to many natural language tasks, this paper presents preliminary findings on developing a verification component for detecting hallucinations of an LLM that produces SPARQL queries from natural language questions. We suggest a logic-based deductive verification of the generated SPARQL query by checking if the original NL question’s deep semantic representation entails the SPARQL’s semantic representation.
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