Relations (1)

related 0.10 — supporting 1 fact

The GraphEval framework utilizes a natural language inference (NLI) model as a core component to validate the accuracy of triples within a Knowledge Graph, as described in [1].

Facts (1)

Sources
A Knowledge-Graph Based LLM Hallucination Evaluation Framework themoonlight.io The Moonlight 1 fact
procedureThe GraphEval framework detects hallucinations by using a pretrained Natural Language Inference (NLI) model to compare each triple in the constructed Knowledge Graph against the original context, flagging a triple as a hallucination if the NLI model predicts inconsistency with a probability score greater than 0.5.