mlsanityData to 14 Oct 2026

Editing Across Languages: A Survey of Multilingual Knowledge Editing

arXiv 2505.14393 ↗First posted 20 May 2025cs.CLcited by 2

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Abstract (arXiv)

While Knowledge Editing has been extensively studied in monolingual settings, it remains underexplored in multilingual contexts. This survey systematizes recent research on Multilingual Knowledge Editing (MKE), a growing subdomain of model editing focused on ensuring factual edits generalize reliably across languages. We present a comprehensive taxonomy of MKE methods, covering parameter-based, memory-based, fine-tuning, and hypernetwork approaches. We survey available benchmarks,summarize key findings on method effectiveness and transfer patterns, identify challenges in cross-lingual propagation, and highlight open problems related to language anisotropy, evaluation coverage, and edit scalability. Our analysis consolidates a rapidly evolving area and lays the groundwork for future progress in editable language-aware LLMs.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 27 of its 39 references that are in the map. First posted on arXiv 20 May 2025.

Builds on

27 of 39 references.

References · 27

  1. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  2. 2022Locating and Editing Factual Associations in GPTcited by 2,691
  3. 2022Mass-Editing Memory in a Transformercited by 1,001
  4. 2021Editing Factual Knowledge in Language Modelscited by 553
  5. 2022Memory-Based Model Editing at Scalecited by 447
  6. 2023MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questionscited by 300
  7. 2023Can We Edit Factual Knowledge by In-Context Learning?cited by 285
  8. 2022Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptorscited by 271
  9. 2020Modifying Memories in Transformer Modelscited by 224
  10. 2023PMET: Precise Model Editing in a Transformercited by 173
  11. 2020SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddingscited by 156
  12. 2024TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Spacecited by 91
15 more
  1. 2024The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapsecited by 54
  2. 2024Rebuilding ROME : Resolving Model Collapse during Sequential Model Editingcited by 50
  3. 2024Learning to Edit: Aligning LLMs with Knowledge Editingcited by 43
  4. 2023A Survey on Knowledge Editing of Neural Networkscited by 34
  5. 2024Can Knowledge Editing Really Correct Hallucinations?cited by 28
  6. 2022Language Anisotropic Cross-Lingual Model Editingcited by 26
  7. 2024Cross-lingual Editing in Multilingual Language Modelscited by 18
  8. 2024Multilingual Knowledge Editing with Language-Agnostic Factual Neuronscited by 18
  9. 2024Exploring Alignment in Shared Cross-lingual Spacescited by 13
  10. 2024BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learningcited by 13
  11. 2024MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Modelscited by 11
  12. 2025Mass-Editing Memory with Attention in Transformers: A cross-lingual exploration of knowledgecited by 10
  13. 2024MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editingcited by 9
  14. 2024MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Languagecited by 9
  15. 2025Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMscited by 3

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025An Exploration of Knowledge Editing for Arabiccited by 0
  2. 2026CLM-Bench: Benchmarking and Analyzing Cross-lingual Misalignment of LLMs in Knowledge Editingcited by 0