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A Knowledge-Graph Based LLM Hallucination Evaluation Framework themoonlight.io 1 fact
procedureThe GraphCorrect strategy rectifies hallucinations by identifying inconsistent triples, sending the problematic triple and context back to an LLM to generate a corrected version, and substituting the new triple into the original output to ensure localized correction without altering unaffected sections.
A Knowledge-Graph Based LLM Hallucination Evaluation Framework arxiv.org 1 fact
claimGraphEval identifies specific triples within a Knowledge Graph that are prone to hallucinations, providing insight into the location of hallucinations within an LLM response.