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Zengyi Gao

2 accepted papers

2025

FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs

ACL 2025finding

To mitigate the hallucination and knowledge deficiency in large language models (LLMs), Knowledge Graph (KG)-based Retrieval-Augmented Generation (RAG) has shown promising potential by utilizing KGs as an external resource to enhance LLM reasoning.However, existing KG-RAG approaches struggle with a…

2025

GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding

ACL 2025long

Although Large Language Models (LLMs) have demonstrated potential in processing graphs, they struggle with comprehending graphical structure information through prompts of graph description sequences, especially as the graph size increases. We attribute this challenge to the uneven memory performanc…

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