Artificial Intelligence #large language models#llms
New Method LUCID Detects Hallucinations in LLM-Based Knowledge Graph Reasoning
Researchers introduce LUCID, the first hallucination detection method designed for large language model-based knowledge graph reasoning. By jointly leveraging attention scores, KG semantics, and structural information via a graph neural network, LUCID achieves state-of-the-art performance across nine datasets compared to 15 baselines. The method addresses a critical gap where existing detection techniques overlook structural information in knowledge graphs.
Jun 20, 2026 2 sources