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An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration
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This method proposes a training-free collaborative reasoning scheme where LLMs act as agents to iteratively explore KGs, retrieve task-relevant subgraphs, and then combine their inherent implicit knowledge with explicit KG knowledge for step-by-step, transparent reasoning. This synergistic approach aims to enhance LLM reasoning capabilities and interpretability by actively integrating KG interaction into the reasoning process.
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