mlsanityData to 7 Oct 2026

OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System

arXiv 2409.07497 ↗First posted 9 Sep 2024cs.AI cs.CL cs.DBcited by 12

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Abstract (arXiv)

Knowledge representation has been a central aim of AI since its inception. Symbolic Knowledge Graphs (KGs) and neural Large Language Models (LLMs) can both represent knowledge. KGs provide highly accurate and explicit knowledge representation, but face scalability issue; while LLMs offer expansive coverage of knowledge, but incur significant training costs and struggle with precise and reliable knowledge manipulation. To this end, we introduce OneEdit, a neural-symbolic prototype system for collaborative knowledge editing using natural language, which facilitates easy-to-use knowledge management with KG and LLM. OneEdit consists of three modules: 1) The Interpreter serves for user interaction with natural language; 2) The Controller manages editing requests from various users, leveraging the KG with rollbacks to handle knowledge conflicts and prevent toxic knowledge attacks; 3) The Editor utilizes the knowledge from the Controller to edit KG and LLM. We conduct experiments on two new datasets with KGs which demonstrate that OneEdit can achieve superior performance.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 31 of its 51 references that are in the map. First posted on arXiv 9 Sep 2024.

Builds on

31 of 51 references.

References · 31

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  2. 2022Locating and Editing Factual Associations in GPTcited by 2,609
  3. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  4. 2019Language Models as Knowledge Bases?cited by 1,922
  5. 2024MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategiescited by 694
  6. 2023Unifying Large Language Models and Knowledge Graphs: A Roadmapcited by 663
  7. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  8. 2024A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applicationscited by 428
  9. 2023Editing Large Language Models: Problems, Methods, and Opportunitiescited by 367
  10. 2019KGAT: Knowledge Graph Attention Network for Recommendationcited by 342
  11. 2021Pre-Trained Models: Past, Present and Futurecited by 319
  12. 2022Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptorscited by 267
19 more
  1. 2023Transformer-Patcher: One Mistake worth One Neuroncited by 196
  2. 2023Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs?cited by 167
  3. 2022A Review on Language Models as Knowledge Basescited by 156
  4. 2024Continual Learning for Large Language Models: A Surveycited by 144
  5. 2023From Word Models to World Models: Translating from Natural Language to the Probabilistic Language of Thoughtcited by 118
  6. 2024Cutting Off the Head Ends the Conflict: A Mechanism for Interpreting and Mitigating Knowledge Conflicts in Language Modelscited by 87
  7. 2021A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutionscited by 77
  8. 2023Large Language Models and Knowledge Graphs: Opportunities and Challengescited by 71
  9. 2022OntoProtein: Protein Pretraining With Gene Ontology Embeddingcited by 70
  10. 2024Understanding LLMs: A Comprehensive Overview from Training to Inferencecited by 58
  11. 2023FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answeringcited by 51
  12. 2024WilKE: Wise-Layer Knowledge Editor for Lifelong Knowledge Editingcited by 40
  13. 2024Multi-hop Question Answering under Temporal Knowledge Editingcited by 36
  14. 2024Graph Machine Learning in the Era of Large Language Models (LLMs)cited by 33
  15. 2024Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?cited by 24
  16. 2024Long-form evaluation of model editingcited by 23
  17. 2024Has this Fact been Edited? Detecting Knowledge Edits in Language Modelscited by 14
  18. 2024Stable Knowledge Editing in Large Language Modelscited by 12
  19. 2021Conditional Attention Networks for Distilling Knowledge Graphs in Recommendationcited by 10

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 4; 2025: 5; 2026: 3.

12 papers.

  1. 2024AlphaEdit: Null-Space Constrained Knowledge Editing for Language Modelscited by 224
  2. 2025Reinforced Lifelong Editing for Language Modelscited by 33
  3. 2024Can Knowledge Editing Really Correct Hallucinations?cited by 28
  4. 2024Neuron-Level Sequential Editing for Large Language Modelscited by 18
  5. 2025Generative AI in Transportation Planning: A Surveycited by 8
  6. 2025DocMEdit: Towards Document-Level Model Editingcited by 5
  7. 2026MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMscited by 4
  8. 2024LLM+KG@VLDB'24 Workshop Summarycited by 3
  9. 2026A Negative Result on Cross-Model Activation Transfer in a Pythia Multi-Hop Settingcited by 3
  10. 2025Constructing coherent spatial memory in LLM agents through graph rectificationcited by 2
  11. 2025Energy-Regularized Sequential Model Editing on Hyperspherescited by 1
  12. 2026ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learningcited by 0