KG-Guard: Graph-Based Hallucination Detection for Knowledge Base Question Answering

In three linesKG-Guard detects hallucinations in knowledge base question answering (KBQA) systems using an augmented graph and lightweight encoder. The model achieves F1 scores of 82.0–87.4 on WebQSP/ComplexWebQuestions with 305× fewer parameters than baselines, and improves downstream KBQA F1 by 13–14.5 points through iterative refinement feedback.

Summary generated by Claude — human-verified