mlsanityData to 7 Oct 2026

Enhancing Knowledge Graph Construction Using Large Language Models

arXiv 2305.04676 ↗First posted 8 May 2023cs.CLcited by 44

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Abstract (arXiv)

The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently. However, the combined application of Large Language Models with semantic technologies for reasoning and inference is still a challenging task. This paper analyzes how the current advances in foundational LLM, like ChatGPT, can be compared with the specialized pretrained models, like REBEL, for joint entity and relation extraction. To evaluate this approach, we conducted several experiments using sustainability-related text as our use case. We created pipelines for the automatic creation of Knowledge Graphs from raw texts, and our findings indicate that using advanced LLM models can improve the accuracy of the process of creating these graphs from unstructured text. Furthermore, we explored the potential of automatic ontology creation using foundation LLM models, which resulted in even more relevant and accurate knowledge graphs.

Key facts. Cited by 44 papers in the map (data through 7 Oct 2026). Builds on 8 of its 33 references that are in the map. First posted on arXiv 8 May 2023.

Builds on

8 of 33 references.

References · 8

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2023GPT-4 Technical Reportcited by 18,132
  4. 2022Training language models to follow instructions with human feedbackcited by 15,712
  5. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  6. 2017Proximal Policy Optimization Algorithmscited by 14,441
  7. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  8. 2018A Survey on Semantic Parsingcited by 62

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 6; 2024: 13; 2025: 13; 2026: 12.

44 papers.

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  1. 2024From Local to Global: A Graph RAG Approach to Query-Focused Summarizationcited by 1,411
  2. 2023When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunitiescited by 89
  3. 2024GRAG: Graph Retrieval-Augmented Generationcited by 77
  4. 2024From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMscited by 77
  5. 2023Iterative Zero-Shot LLM Prompting for Knowledge Graph Constructioncited by 25
  6. 2023Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generationcited by 21
  7. 2025GraphEval: A Lightweight Graph-Based LLM Framework for Idea Evaluationcited by 17
  8. 2024Actionable Cyber Threat Intelligence using Knowledge Graphs and Large Language Modelscited by 14
  9. 2025AssertionForge: Enhancing Formal Verification Assertion Generation with Structured Representation of Specifications and RTLcited by 13
  10. 2024End-to-End Ontology Learning with Large Language Modelscited by 12
  11. 2024KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Modelscited by 12
  12. 2023Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?cited by 11
32 more
  1. 2023Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Modelscited by 6
  2. 2024Scaling Knowledge Graph Construction through Synthetic Data Generation and Distillationcited by 6
  3. 2025An evaluation of DeepSeek Models in Biomedical Natural Language Processingcited by 6
  4. 2024On the Use of Large Language Models to Generate Capability Ontologiescited by 5
  5. 2024Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Test Datacited by 5
  6. 2023KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Modelscited by 4
  7. 2024Semantic Communication Enhanced by Knowledge Graph Representation Learningcited by 4
  8. 2025On the Problem of Consistent Anomalies in Zero-Shot Industrial Anomaly Detectioncited by 2
  9. 2025Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metricscited by 1
  10. 2025Talking to GDELT Through Knowledge Graphscited by 1
  11. 2025Exploring a Large Language Model for Transforming Taxonomic Data into OWL: Lessons Learned and Implications for Ontology Developmentcited by 1
  12. 2025KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Modelscited by 1
  13. 2025AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commercecited by 1
  14. 2026Development of Ontological Knowledge Bases by Leveraging Large Language Modelscited by 1
  15. 2026Suppressing Domain-Specific Hallucination in Construction LLMs: A Knowledge Graph Foundation for GraphRAG and QLoRA on River and Sediment Control Technical Standardscited by 1
  16. 2024Large Language Models and Knowledge Graphs for Astronomical Entity Disambiguationcited by 0
  17. 2024GraphAide: Advanced Graph-Assisted Query and Reasoning Systemcited by 0
  18. 2024Semantic Web: Past, Present, and Future (with Machine Learning on Knowledge Graphs and Language Models on Knowledge Graphs)cited by 0
  19. 2025SKG-LLM: Developing a Mathematical Model for Stroke Knowledge Graph Construction Using Large Language Modelscited by 0
  20. 2025GOSU: Retrieval-Augmented Generation with Global-Level Optimized Semantic Unit-Centric Frameworkcited by 0
  21. 2025A Multi-Agent System for Semantic Mapping of Relational Data to Knowledge Graphscited by 0
  22. 2025HyperComplEx: Adaptive Multi-Space Knowledge Graph Embeddingscited by 0
  23. 2026LPCAN: Lightweight Pyramid Cross-Attention Network for Rail Surface Defect Detection Using RGB-D Datacited by 0
  24. 2026Knowledge-Embedded and Hypernetwork-Guided Few-Shot Substation Meter Defect Image Generation Methodcited by 0
  25. 2026MA-LipNet: Multi-Dimensional Attention Networks for Robust Lipreadingcited by 0
  26. 2026The Diffusion Duet: Harmonizing Dual Channels with Wavelet Suppression for Image Separationcited by 0
  27. 2026Detecting Deepfakes with Multivariate Soft Blending and CLIP-based Image-Text Alignmentcited by 0
  28. 2026Efficient Image Super-Resolution with Multi-Scale Spatial Adaptive Attention Networkscited by 0
  29. 2026OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completioncited by 0
  30. 2026A Deformable Attention-Based Detection Transformer with Cross-Scale Feature Fusion for Industrial Coil Spring Inspectioncited by 0
  31. 2026Text Data Integrationcited by 0
  32. 2026BoostTaxo: Zero-Shot Taxonomy Induction via Boosting-Style Agentic Reasoning and Constraint-Aware Calibrationcited by 0

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  1. 2025LLM-empowered knowledge graph construction: A survey
  2. 2023LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
  3. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmap
  4. 2024Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured Data
  5. 2024Synergizing Knowledge Graphs with Large Language Models: A Comprehensive Review and Future Prospects ↗
  6. 2024Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT
  7. 2024From human experts to machines: An LLM supported approach to ontology and knowledge graph construction
  8. 2024Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs