Constrained Entity Selection under Partial Knowledge for LLM-Based Knowledge Graph QA

By Emanuel Kitzelmann · Paper · cs.AI

Large language models are increasingly used for knowledge graph question answering (KGQA), but can fail to correctly ground answers in the underlying graph. Current approaches to LLM-based KGQA either rely on full semantic parsing into executable queries such as SPARQL, which is

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