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CuriousLLM introduces an LLM agent that generates curiosity-driven follow-up questions to guide the traversal of a Knowledge Graph. This process aims to retrieve more relevant context efficiently, which then enhances the performance of a separate LLM (GPT-4o-mini) in generating answers for multi-document question answering tasks during inference.
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