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Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning
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MemQ is an LLM-based framework designed to improve Knowledge Graph Question Answering (KGQA). It enhances the LLM's reasoning capabilities by decoupling it from direct tool invocation using a query memory built by an LLM, natural language reasoning steps, and a query reconstruction strategy. The method explicitly aims to improve the LLM's performance on the KGQA task.
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