GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
Published in IJCAI 2025 Demo Track, 2025
GE-Chat combines document-to-knowledge-graph construction with graph-enhanced retrieval and evidence grounding for trustworthy LLM responses.
Recommended citation: Longchao Da, Parth Mitesh Shah, Kuan-Ru Liou, Jiaxing Zhang, Hua Wei. 2025. GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs. IJCAI 2025 Demo Track.
Recommended citation: Longchao Da, Parth Mitesh Shah, Kuan-Ru Liou, Jiaxing Zhang, Hua Wei. 2025. GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs. IJCAI 2025 Demo Track (arXiv:2505.10143). https://arxiv.org/abs/2505.10143