GraphInstruct: Empowering Large Language Models with Graph Understanding
and Reasoning Capability

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability

7 March 2024

Xing Xie

Papers citing "GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability"

7 / 7 papers shown

Title
Graph Drawing for LLMs: An Empirical Evaluation Walter Didimo Fabrizio Montecchiani Tommaso Piselli 40 0 0 06 May 2025
Graph Linearization Methods for Reasoning on Graphs with Large Language Models Christos Xypolopoulos Guokan Shang Xiao Fei Giannis Nikolentzos Hadi Abdine Iakovos Evdaimon Michail Chatzianastasis Giorgos Stamou Michalis Vazirgiannis 19 1 0 25 Oct 2024
GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration Xin Sky Li Qizhi Chu Y. Chen Yang Liu Yaoqi Liu Zekai Yu Weize Chen Chen Qian C. Shi Cheng Yang LLMAG 48 2 0 23 Oct 2024
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models Zike Yuan Ming Liu Hui Wang Bing Qin LRM ELM 44 2 0 03 Jul 2024
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge Yunxiang Li Zihan Li Kai Zhang Ruilong Dan Steven Jiang You Zhang LM&MA AI4MH 114 366 0 24 Mar 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 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 301 11,730 0 04 Mar 2022