A multi-backend structural gate for LLM-generated Cypher queries achieves 100% detection of parse, constraint, and schema errors at zero false positives on 1135 queries while preserving model accuracy and adding a cost planner.
CypherBench: Towards precise retrieval over full-scale modern knowledge graphs in the LLM era
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cs.CL 2years
2026 2verdicts
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A graph-augmented RAG system with vector and graph query tools halves hallucinations and raises factual correctness scores on the MoNaCo complex QA benchmark.
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CYGNET: Cypher Gate for Neural Execution Triage and Cost Containment
A multi-backend structural gate for LLM-generated Cypher queries achieves 100% detection of parse, constraint, and schema errors at zero false positives on 1135 queries while preserving model accuracy and adding a cost planner.
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Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)
A graph-augmented RAG system with vector and graph query tools halves hallucinations and raises factual correctness scores on the MoNaCo complex QA benchmark.