GraphEval Detects LLM Hallucinations by Mapping Outputs onto Knowledge Graphs
GraphEval offers a structured two-stage framework that builds a triple graph from model output and checks each triple against a ground‑truth knowledge base using an NLI model, flagging contradictions as hallucinations. The KDNuggets walkthrough shows a lightweight code demo, making the method easy to test and improving explainability of LLM errors.