3 papers
cs.CL2026
SentGraph: Hierarchical Sentence Graph for Multi-hop Retrieval-Augmented Question Answering
Junli Liang, Pengfei Zhou, Wangqiu Zhou +5
Traditional Retrieval-Augmented Generation (RAG) effectively supports single-hop question answering with large language models but faces significant limitations in multi-hop questi…
cs.CL2025
RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs
Can Lin, Zhengwang Jiang, Ling Zheng +4
Knowledge graph question answering (KGQA) aims to answer natural language questions using knowledge graphs. Recent research leverages large language models (LLMs) to enhance KGQA r…
cs.AI2025
KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge Graphs
Qi Zhao, Hongyu Yang, Qi Song +2
Large language models (LLMs) have demonstrated remarkable capabilities in various complex tasks, yet they still suffer from hallucinations. By incorporating and exploring external…