mlsanityData to 14 Oct 2026

KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

arXiv 2308.11761 ↗First posted 17 Aug 2023cs.CL cs.AIcited by 52

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Cited by 24 in Retrieval-augmented generation, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Large language models (LLMs) have demonstrated impressive impact in the field of natural language processing, but they still struggle with several issues regarding, such as completeness, timeliness, faithfulness and adaptability. While recent efforts have focuses on connecting LLMs with external knowledge sources, the integration of knowledge bases (KBs) remains understudied and faces several challenges. In this paper, we introduce KnowledGPT, a comprehensive framework to bridge LLMs with various knowledge bases, facilitating both the retrieval and storage of knowledge. The retrieval process employs the program of thought prompting, which generates search language for KBs in code format with pre-defined functions for KB operations. Besides retrieval, KnowledGPT offers the capability to store knowledge in a personalized KB, catering to individual user demands. With extensive experiments, we show that by integrating LLMs with KBs, KnowledGPT properly answers a broader range of questions requiring world knowledge compared with vanilla LLMs, utilizing both knowledge existing in widely-known KBs and extracted into personalized KBs.

Key facts. Cited by 52 papers in the map (data through 14 Oct 2026). Builds on 27 of its 60 references that are in the map. First posted on arXiv 17 Aug 2023.

Builds on

27 of 60 references.

References · 27

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  3. 2022Large Language Models are Zero-Shot Reasonerscited by 4,374
  4. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,182
  5. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
  6. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,141
  7. 2022Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Taskscited by 1,076
  8. 2022Large Language Models Struggle to Learn Long-Tail Knowledgecited by 458
  9. 2023Benchmarking Large Language Models for News Summarizationcited by 445
  10. 2023ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddingscited by 240
  11. 2021Internet-Augmented Dialogue Generationcited by 217
  12. 2019PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Textcited by 184
15 more
  1. 2023ChatDB: Augmenting LLMs with Databases as Their Symbolic Memorycited by 140
  2. 2023Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answeringcited by 119
  3. 2016Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervisioncited by 103
  4. 2022UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graphcited by 103
  5. 2022Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answeringcited by 93
  6. 2023Document-Level Machine Translation with Large Language Modelscited by 90
  7. 2022DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Basescited by 84
  8. 2023Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPTcited by 80
  9. 2023RET-LLM: Towards a General Read-Write Memory for Large Language Modelscited by 64
  10. 2021TransferNet: An Effective and Transparent Framework for Multi-hop Question Answering over Relation Graphcited by 60
  11. 2023Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Modelscited by 58
  12. 2022Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environmentscited by 57
  13. 2020SPARQA: Skeleton-based Semantic Parsing for Complex Questions over Knowledge Basescited by 47
  14. 2021Program Transfer for Answering Complex Questions over Knowledge Basescited by 34
  15. 2022Crake: Causal-Enhanced Table-Filler for Question Answering over Large Scale Knowledge Basecited by 8

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 2; 2024: 22; 2025: 20; 2026: 8.

52 papers.

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  1. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  2. 2024Retrieval-Augmented Generation for AI-Generated Content: A Surveycited by 354
  3. 2024Graph Retrieval-Augmented Generation: A Surveycited by 324
  4. 2024Retrieval-Augmented Generation with Graphs (GraphRAG)cited by 172
  5. 2025A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Modelscited by 88
  6. 2023Cognitive Mirage: A Review of Hallucinations in Large Language Modelscited by 84
  7. 2024Simple Is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generationcited by 80
  8. 2024A Survey on Retrieval-Augmented Text Generation for Large Language Modelscited by 77
  9. 2024Demystifying Chains, Trees, and Graphs of Thoughtscited by 63
  10. 2024Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Modelscited by 44
  11. 2024What is the Role of Small Models in the LLM Era: A Surveycited by 41
  12. 2024M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitionscited by 38
38 more
  1. 2024RAR-b: Reasoning as Retrieval Benchmarkcited by 36
  2. 2024KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detectioncited by 33
  3. 2025AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answeringcited by 32
  4. 2025GraphRAG under Firecited by 24
  5. 2025FlowAgent: Achieving Compliance and Flexibility for Workflow Agentscited by 19
  6. 2025PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generationcited by 18
  7. 2025Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Surveycited by 18
  8. 2025Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compressioncited by 16
  9. 2026EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answeringcited by 15
  10. 2024Aligning Large Language Models to a Domain-specific Graph Database for NL2GQLcited by 14
  11. 2024Efficient Knowledge Infusion via KG-LLM Alignmentcited by 13
  12. 2024RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answeringcited by 13
  13. 2025DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialoguecited by 10
  14. 2025NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answeringcited by 10
  15. 2025A Survey on Retrieval And Structuring Augmented Generation with Large Language Modelscited by 8
  16. 2024Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Modelscited by 6
  17. 2024DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automatoncited by 5
  18. 2025DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillationcited by 5
  19. 2024How to Make LMs Strong Node Classifiers?cited by 4
  20. 2024Generating a Low-code Complete Workflow via Task Decomposition and RAGcited by 3
  21. 2026DocSage: An Information Structuring Agent for Multi-Doc Multi-Entity Question Answeringcited by 3
  22. 2026Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agentscited by 3
  23. 2026CoAL-RAG: A Complexity-Aware Legal Retrieval-Augmented Generation Methodcited by 3
  24. 2024LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Modelscited by 2
  25. 2024A Survey of Query Optimization in Large Language Modelscited by 1
  26. 2025Foundations of GenIRcited by 1
  27. 2025Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolationcited by 1
  28. 2025Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environmentcited by 1
  29. 2025Guided Navigation in Knowledge-Dense Environments: Structured Semantic Exploration with Guidance Graphscited by 1
  30. 2025Joint Enhancement of Relational Reasoning for Long-Context LLMscited by 1
  31. 2025DRAMA: Unifying Data Retrieval and Analysis for Open-Domain Analytic Queriescited by 1
  32. 2026CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Basescited by 1
  33. 2024Fine-grained Stateful Knowledge Exploration: Effective and Efficient Graph Retrieval with Large Language Modelscited by 0
  34. 2024Lower Layers Matter: Alleviating Hallucination via Multi-Layer Fusion Contrastive Decoding with Truthfulness Refocusedcited by 0
  35. 2025Hallucinate, Ground, Repeat: A Framework for Generalized Visual Relationship Detectioncited by 0
  36. 2025Towards Interpretable and Inference-Optimal COT Reasoning with Sparse Autoencoder-Guided Generationcited by 0
  37. 2025TelcoAI: Advancing 3GPP Technical Specification Search through Agentic Multi-Modal Retrieval-Augmented Generationcited by 0
  38. 2026The Virtuous Cycle: AI-Powered Vector Search and Vector Search-Augmented AIcited by 0

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