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Approaches that leverage retrieved factual evidence from knowledge graphs for refinement and validation are designed to augment Large Language Model capabilities in understanding user interactions and verifying intermediate reasoning for multi-hop question-answering (Chen et al., 2024b) and conversational question-answering (Xiong et al., 2024).

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