Cover Image

KnowGPT: Knowledge Graph based Prompting for Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Qinggang, Dong, Junnan, Chen, Hao, Zha, Daochen, Yu, Zailiang, Huang, Xiao
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cost-efficient Knowledge-based Question Answering with Large Language Models
by: Dong, Junnan, et al.
Published: (2024)

Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering
by: Dong, Junnan, et al.
Published: (2024)

Structure Guided Large Language Model for SQL Generation
by: Zhang, Qinggang, et al.
Published: (2024)

Entity Alignment with Noisy Annotations from Large Language Models
by: Chen, Shengyuan, et al.
Published: (2024)

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
by: Zhang, Qinggang, et al.
Published: (2025)

Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
by: Hong, Zijin, et al.
Published: (2024)

Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
by: Zhang, Qinggang, et al.
Published: (2024)

Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
by: Dong, Su, et al.
Published: (2026)

Know More, Know Clearer: A Meta-Cognitive Framework for Knowledge Augmentation in Large Language Models
by: Chen, Hao, et al.
Published: (2026)

Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
by: Xiao, Yilin, et al.
Published: (2025)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)

GraphGPT: Graph Instruction Tuning for Large Language Models
by: Tang, Jiabin, et al.
Published: (2023)

KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion
by: Wei, Yanbin, et al.
Published: (2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models
by: Fang, Yi, et al.
Published: (2024)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
by: Susanti, Yuni, et al.
Published: (2024)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

Do Large Language Models Know How Much They Know?
by: Prato, Gabriele, et al.
Published: (2025)

Evaluating and Enhancing Large Language Models for Conversational Reasoning on Knowledge Graphs
by: Huang, Yuxuan
Published: (2023)

MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
by: Wen, Yilin, et al.
Published: (2023)

A Few Words Can Distort Graphs: Knowledge Poisoning Attacks on Graph-based Retrieval-Augmented Generation of Large Language Models
by: Wen, Jiayi, et al.
Published: (2025)

GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generation
by: Xiao, Yilin, et al.
Published: (2025)

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
by: Hang, Ching Nam, et al.
Published: (2025)

Knowledge Graph-Enhanced Large Language Models via Path Selection
by: Liu, Haochen, et al.
Published: (2024)

Unifying Large Language Models and Knowledge Graphs: A Roadmap
by: Pan, Shirui, et al.
Published: (2023)

KnowPO: Knowledge-aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models
by: Zhang, Ruizhe, et al.
Published: (2024)

Enhancing Large Language Models with Reliable Knowledge Graphs
by: Zhang, Qinggang
Published: (2025)

Fine-grained Stateful Knowledge Exploration: Effective and Efficient Graph Retrieval with Large Language Models
by: Tao, Dehao, et al.
Published: (2024)

KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
by: Liu, Junnan, et al.
Published: (2024)

Combining Knowledge Graphs and Large Language Models
by: Kau, Amanda, et al.
Published: (2024)

GRL-Prompt: Towards Knowledge Graph based Prompt Optimization via Reinforcement Learning
by: Liu, Yuze, et al.
Published: (2024)

KnowledgePrompts: Exploring the Abilities of Large Language Models to Solve Proportional Analogies via Knowledge-Enhanced Prompting
by: Wijesiriwardene, Thilini, et al.
Published: (2024)

KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection
by: Li, Yuexin, et al.
Published: (2024)

Ontology-Enhanced Knowledge Graph Completion using Large Language Models
by: Guo, Wenbin, et al.
Published: (2025)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
by: Long, Xiao, et al.
Published: (2025)

Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
by: Yang, Linyao, et al.
Published: (2024)

LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
by: Ao, Tu, et al.
Published: (2025)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)