mlsanityData to 14 Oct 2026

Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking

arXiv 2502.15419 ↗First posted 21 Feb 2025cs.CL cs.AI cs.CYcited by 8

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Abstract (arXiv)

Robust automatic fact-checking systems have the potential to combat online misinformation at scale. However, most existing research primarily focuses on English. In this paper, we introduce MultiSynFact, the first large-scale multilingual fact-checking dataset containing 2.2M claim-source pairs designed to support Spanish, German, English, and other low-resource languages. Our dataset generation pipeline leverages Large Language Models (LLMs), integrating external knowledge from Wikipedia and incorporating rigorous claim validation steps to ensure data quality. We evaluate the effectiveness of MultiSynFact across multiple models and experimental settings. Additionally, we open-source a user-friendly framework to facilitate further research in multilingual fact-checking and dataset generation.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 28 of its 43 references that are in the map. First posted on arXiv 21 Feb 2025.

Builds on

28 of 43 references.

References · 28

  1. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 14,132
  2. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,375
  3. 2023FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generationcited by 1,282
  4. 2021DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharingcited by 1,254
  5. 2023WizardLM: Empowering large pre-trained language models to follow complex instructionscited by 1,125
  6. 2018XNLI: Evaluating Cross-lingual Sentence Representationscited by 915
  7. 2024Phi-4 Technical Reportcited by 711
  8. 2020Towards Faithfully Interpretable NLP Systems: How should we define and evaluate faithfulness?cited by 599
  9. 2021A Survey on Automated Fact-Checkingcited by 378
  10. 2024Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothingcited by 346
  11. 2023AlignScore: Evaluating Factual Consistency with a Unified Alignment Functioncited by 288
  12. 2024On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Surveycited by 244
16 more
  1. 2021Get Your Vitamin C! Robust Fact Verification with Contrastive Evidencecited by 225
  2. 2023Fine-tuning Language Models for Factualitycited by 221
  3. 2018Combining Fact Extraction and Verification with Neural Semantic Matching Networkscited by 120
  4. 2020Towards Controllable Biases in Language Generationcited by 112
  5. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 91
  6. 2020FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19cited by 61
  7. 2022MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Datasetcited by 61
  8. 2022Generating Scientific Claims for Zero-Shot Scientific Fact Checkingcited by 59
  9. 2024DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflowscited by 43
  10. 2021AmbiFC: Fact-Checking Ambiguous Claims with Evidencecited by 38
  11. 2020MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformationcited by 37
  12. 2023FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checkingcited by 37
  13. 2020Stance Prediction and Claim Verification: An Arabic Perspectivecited by 25
  14. 2024Multi-FAct: Assessing Factuality of Multilingual LLMs using FActScorecited by 18
  15. 2024Balancing Cost and Effectiveness of Synthetic Data Generation Strategies for LLMscited by 15
  16. 2024ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Sourcecited by 4

Built on by

Cited by year (2026 to 14 Oct)

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

8 papers.

  1. 2025A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languagescited by 3
  2. 2026Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classificationcited by 2
  3. 2025RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Setscited by 1
  4. 2026Kakugo: Distillation of Low-Resource Languages into Small Language Modelscited by 1
  5. 2025HiFACTMix: A Code-Mixed Benchmark and Graph-Aware Model for EvidenceBased Political Claim Verification in Hinglishcited by 0
  6. 2026FactNet: A Billion-Scale Knowledge Graph for Multilingual Factual Groundingcited by 0
  7. 2026Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generationcited by 0
  8. 2026ARAFA: An LLM-Generated Arabic Fact-Checking Datasetcited by 0