mlsanityData to 7 Oct 2026

FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Grounding

arXiv 2602.03417 ↗First posted 3 Feb 2026cs.CLcited by 0

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Abstract (arXiv)

Large language models hallucinate factual claims and struggle to ground their outputs in retrievable evidence, particularly in non-English languages. Existing resources impose a trade-off: structured knowledge bases lack textual grounding, whereas grounded datasets remain small and monolingual. We introduce FactNet, a billion-scale open resource that couples 1.7B Wikidata assertions with 3.01B evidence pointers drawn from 316 native Wikipedia editions. FactNet employs a deterministic construction pipeline, ensuring that every evidence unit is traceable to its source with byte-level precision. We further establish FactNet-Bench, an evaluation suite for Knowledge Graph Completion, Question Answering, and Fact Checking, equipped with systematic leakage controls. Experiments demonstrate that FactNet-Bench differentiates among structural, text-aware, and LLM-integrated methods, and that cross-lingual structure enables knowledge transfer across language tiers.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 48 of its 72 references that are in the map. First posted on arXiv 3 Feb 2026.

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References · 48

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2025Qwen3 Technical Reportcited by 8,195
  3. 2024GPT-4o System Cardcited by 4,467
  4. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  5. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,895
  6. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  7. 2023A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questionscited by 1,582
  8. 2018Datasheets for Datasetscited by 1,371
  9. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  10. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,290
  11. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,203
  12. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 893
36 more
  1. 2017Convolutional 2D Knowledge Graph Embeddingscited by 729
  2. 2020Stanza: A Python Natural Language Processing Toolkit for Many Human Languagescited by 719
  3. 2020KILT: a Benchmark for Knowledge Intensive Language Taskscited by 571
  4. 2020Fact or Fiction: Verifying Scientific Claimscited by 546
  5. 2019Composition-based Multi-Relational Graph Convolutional Networkscited by 395
  6. 2024Multilingual E5 Text Embeddings: A Technical Reportcited by 357
  7. 2019KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representationcited by 356
  8. 2021Entity-Based Knowledge Conflicts in Question Answeringcited by 349
  9. 2023The Curse of Recursion: Training on Generated Data Makes Models Forgetcited by 343
  10. 2021OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphscited by 328
  11. 2019MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claimscited by 169
  12. 2023Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentationcited by 146
  13. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  14. 2023Factuality Challenges in the Era of Large Language Modelscited by 125
  15. 2020CoDEx: A Comprehensive Knowledge Graph Completion Benchmarkcited by 102
  16. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 90
  17. 2022SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Modelscited by 90
  18. 2022Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answeringcited by 71
  19. 2024Factuality of Large Language Models: A Surveycited by 64
  20. 2023Exploring Large Language Models for Knowledge Graph Completioncited by 43
  21. 2023EX-FEVER: A Dataset for Multi-hop Explainable Fact Verificationcited by 36
  22. 2022Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completioncited by 32
  23. 2023Multilingual Previously Fact-Checked Claim Retrievalcited by 32
  24. 2024Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answeringcited by 20
  25. 2024How Do Multilingual Language Models Remember Facts?cited by 20
  26. 2024Faithful Temporal Question Answering over Heterogeneous Sourcescited by 13
  27. 2024FactLens: Benchmarking Fine-Grained Fact Verificationcited by 10
  28. 2025Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checkingcited by 8
  29. 2025MultiClaimNet: A Massively Multilingual Dataset of Fact-Checked Claim Clusterscited by 7
  30. 2024MST5 -- Multilingual Question Answering over Knowledge Graphscited by 5
  31. 2023XFEVER: Exploring Fact Verification across Languagescited by 4
  32. 2025FACTors: A New Dataset for Studying the Fact-checking Ecosystemcited by 4
  33. 2025Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuningcited by 4
  34. 2025Social Biases in Knowledge Representations of Wikidata separates Global North from Global Southcited by 3
  35. 2023Diversity matters: Robustness of bias measurements in Wikidatacited by 2
  36. 2025GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completioncited by 2

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