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This is a Experimental Study study.

September 20, 2025

GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs

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The framework enhances large language models by integrating a knowledge graph for evidence retrieval.
Experimental results show that GE-Chat improves the identification of precise evidence, reducing hallucinations.
Chain-of-Thought reasoning and entailment-based generation are used to ensure accurate responses from the model.
This approach may enhance user trust in large language models by providing reliable, evidence-based conclusions.

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GE-Chat improves evidence-based response generation in large language models, enhancing accuracy and trust.

Da et al. (2025) studied this question.

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