arXiv Machine Learning June 2, 2026 By Albert Sawczyn, Piotr Bielak, Tomasz Kajdanowicz

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

Read the original on arXiv Machine Learning →

arXiv:2606. 00328v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used for knowledge base question answering (KBQA), where answering requires selecting entities from a question-specific knowledge-graph subgraph.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version)

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