Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering

15 February 2024

Kang Liu

Jun Zhao

Papers citing "Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering"

6 / 6 papers shown

Title
Better To Ask in English? Evaluating Factual Accuracy of Multilingual LLMs in English and Low-Resource Languages Pritika Rohera Chaitrali Ginimav Gayatri Sawant Raviraj Joshi 24 0 0 28 Apr 2025
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions Shicheng Liu Sina J. Semnani Harold Triedman Jialiang Xu Isaac Dan Zhao Monica S. Lam 35 6 0 16 Jul 2024
CogMG: Collaborative Augmentation Between Large Language Model and Knowledge Graph Tong Zhou Yubo Chen Kang Liu Jun Zhao HILM RALM 37 1 0 25 Jun 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 322 4,077 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 314 3,248 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 313 11,953 0 04 Mar 2022