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Imperfect knowledge graphs can lead to retrieval drift and hallucinations in multi-hop reasoning, but C2RAG offers a robust solution that improves EM by 3.4% and F1 by 3.9% over existing methods.
GraphRAG, thought to be more robust to poisoning attacks due to its KG abstraction, is surprisingly vulnerable to KEPo, a novel attack that forges knowledge evolution paths to inject toxic events.
