中国科学院计算技术研究所机构知识库

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	Efficient knowledge graph to text powered by LLGM: linear latent graph model 期刊论文 COMPLEX & INTELLIGENT SYSTEMS, 2025, 卷号: 11, 期号: 8, 页码: 22 作者:  Zhao, Xiaokang;  Zheng, Yao;  Shan, Yubo;  Li, Jingyuan;  Zhang, Kun;  Wang, Yuanzhuo 收藏  |  浏览/下载：4/0  |  提交时间：2025/12/03 Knowledge graph to text generation  Linear attention  Low rank compression  Fourier network
	Retriever-generator-verification: A novel approach to enhancing factual coherence in open-domain question answering 期刊论文 INFORMATION PROCESSING & MANAGEMENT, 2025, 卷号: 62, 期号: 4, 页码: 16 作者:  Sun, Shiqi;  Zhang, Kun;  Li, Jingyuan;  Yu, Min;  Hou, Kun;  Wang, Yuanzhuo;  Cheng, Xueqi 收藏  |  浏览/下载：43/0  |  提交时间：2025/06/25 Question answering  Large language model  Information retrieval  In-context learning
	Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation 期刊论文 COMPLEX & INTELLIGENT SYSTEMS, 2025, 卷号: 11, 期号: 1, 页码: 19 作者:  Yao, Zheng;  Li, Jingyuan;  Cen, Jianhe;  Sun, Shiqi;  Yin, Dahu;  Wang, Yuanzhuo 收藏  |  浏览/下载：16/0  |  提交时间：2025/06/25 Graph-generated text  Knowledge representation  Knowledge graphs  Graph theory  Edge-aware attention
	KG-EGV: A Framework for Question Answering with Integrated Knowledge Graphs and Large Language Models 期刊论文 ELECTRONICS, 2024, 卷号: 13, 期号: 23, 页码: 23 作者:  Hou, Kun;  Li, Jingyuan;  Liu, Yingying;  Sun, Shiqi;  Zhang, Haoliang;  Jiang, Haiyang 收藏  |  浏览/下载：16/0  |  提交时间：2025/06/25 knowledge graph  large language model  question answering  evidence retrieval  multi-role reasoning  answer verification  ODQA  graph-based inference