mlsanityData to 14 Oct 2026

Research Trends for the Interplay between Large Language Models and Knowledge Graphs

arXiv 2406.08223 ↗First posted 12 Jun 2024cs.AI cs.CLcited by 15

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Abstract (arXiv)

This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understanding, reasoning, and language processing. It aims to address gaps in current research by exploring areas such as KG Question Answering, ontology generation, KG validation, and the enhancement of KG accuracy and consistency through LLMs. The paper further examines the roles of LLMs in generating descriptive texts and natural language queries for KGs. Through a structured analysis that includes categorizing LLM-KG interactions, examining methodologies, and investigating collaborative uses and potential biases, this study seeks to provide new insights into the combined potential of LLMs and KGs. It highlights the importance of their interaction for improving AI applications and outlines future research directions.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). Builds on 55 of its 97 references that are in the map. First posted on arXiv 12 Jun 2024.

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55 of 97 references.

References · 55

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  12. 2019KG-BERT: BERT for Knowledge Graph Completioncited by 324
38 more
  1. 2019K-BERT: Enabling Language Representation with Knowledge Graphcited by 304
  2. 2023FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarioscited by 251
  3. 2023ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTcited by 250
  4. 2023Can LLM-Generated Misinformation Be Detected?cited by 177
  5. 2023Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answeringcited by 119
  6. 2020Investigating Pretrained Language Models for Graph-to-Text Generationcited by 117
  7. 2023Revisiting Relation Extraction in the era of Large Language Modelscited by 102
  8. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunitiescited by 97
  9. 2023Combating Misinformation in the Age of LLMs: Opportunities and Challengescited by 95
  10. 2022SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Modelscited by 91
  11. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 78
  12. 2023LLMs4OL: Large Language Models for Ontology Learningcited by 77
  13. 2022A Survey of Knowledge Enhanced Pre-trained Language Modelscited by 76
  14. 2023UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognitioncited by 72
  15. 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
  16. 2023GPT-RE: In-context Learning for Relation Extraction using Large Language Modelscited by 62
  17. 2021JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphscited by 58
  18. 2023Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modelingcited by 56
  19. 2023Zero-shot Temporal Relation Extraction with ChatGPTcited by 53
  20. 2023Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learningcited by 50
  21. 2023ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbotscited by 47
  22. 2022From Discrimination to Generation: Knowledge Graph Completion with Generative Transformercited by 45
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  34. 2023ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoningcited by 26
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  36. 2023Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Textcited by 19
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  38. 2023Querying Large Language Models with SQLcited by 14

50 most cited of 55 All 55 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 8; 2026: 4.

15 papers.

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  1. 2025Large language models for artificial general intelligence (AGI): A survey of foundational principles and approachescited by 18
  2. 2024Combining Knowledge Graphs and Large Language Modelscited by 16
  3. 2025Automatic Prompt Optimization for Knowledge Graph Construction: Insights from an Empirical Studycited by 6
  4. 2024LLM+KG@VLDB'24 Workshop Summarycited by 3
  5. 2024FastRAG: Retrieval Augmented Generation for Semi-structured Datacited by 3
  6. 2025LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analyticscited by 2
  7. 2025Leveraging Knowledge Graphs and LLMs for Context-Aware Messagingcited by 2
  8. 2025Trusted Knowledge Extraction for Operations and Maintenance Intelligencecited by 2
  9. 2025Automated Archival Descriptions with Federated Intelligence of LLMscited by 1
  10. 2025Plan Then Retrieve: Reinforcement Learning-Guided Complex Reasoning over Knowledge Graphscited by 1
  11. 2025Matching Game Preferences Through Dialogical Large Language Models: A Perspectivecited by 0
  12. 2026Beyond Predefined Schemas: TRACE-KG for Context-Enriched Knowledge Graph Generationcited by 0
3 more
  1. 2026MARS: Multi-hop Adaptive Retrieval and SPARQL Generation for KGQAcited by 0
  2. 2026From Queries to Narratives: Cultural Heritage Data Stories for Knowledge Graph Exploration and Quality Assessmentcited by 0
  3. 2026Natural Language Questions as an Interface for Knowledge Graphs: QRAKEN Graph Distillation and Semantic Self-Healingcited by 0