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The document presents a framework that integrates Large Language Models (LLMs) with Knowledge Graphs (KGs) to enhance reasoning capabilities by linking each reasoning step to structured data. This approach improves accuracy and interpretability, achieving state-of-the-art performance on the GRBench benchmark with at least a 26.5% improvement over existing methods. The framework employs multiple reasoning strategies, including Chain-of-Thought, Tree-of-Thought, and Graph-of-Thought, and analyzes how various

Author

sudhanvaiitr

Language

EN