mlsanityData to 14 Oct 2026

The Fact Extraction and VERification (FEVER) Shared Task

arXiv 1811.10971 ↗First posted 27 Nov 2018cs.CLcited by 108

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Abstract (arXiv)

We present the results of the first Fact Extraction and VERification (FEVER) Shared Task. The task challenged participants to classify whether human-written factoid claims could be Supported or Refuted using evidence retrieved from Wikipedia. We received entries from 23 competing teams, 19 of which scored higher than the previously published baseline. The best performing system achieved a FEVER score of 64.21%. In this paper, we present the results of the shared task and a summary of the systems, highlighting commonalities and innovations among participating systems.

Key facts. Cited by 108 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Nov 2018.

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Citing papers per year: 2021: 21; 2022: 19; 2023: 22; 2024: 24; 2025: 13; 2026: 9.

108 papers.

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  1. 2023SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Modelscited by 810
  2. 2021A Survey on Automated Fact-Checkingcited by 378
  3. 2023LM vs LM: Detecting Factual Errors via Cross Examinationcited by 156
  4. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  5. 2022Re2G: Retrieve, Rerank, Generatecited by 102
  6. 2023ExpertQA: Expert-Curated Questions and Attributed Answerscited by 97
  7. 2024The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Modelscited by 88
  8. 2024Factual Confidence of LLMs: on Reliability and Robustness of Current Estimatorscited by 61
  9. 2021Automated Fact-Checking: A Surveycited by 55
  10. 2023Scientific Fact-Checking: A Survey of Resources and Approachescited by 54
  11. 2021ProoFVer: Natural Logic Theorem Proving for Fact Verificationcited by 53
  12. 2023Multimodal Automated Fact-Checking: A Surveycited by 53
38 more
  1. 2022GERE: Generative Evidence Retrieval for Fact Verificationcited by 38
  2. 2021FaVIQ: FAct Verification from Information-seeking Questionscited by 36
  3. 2023HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checkingcited by 35
  4. 2022Zoom Out and Observe: News Environment Perception for Fake News Detectioncited by 34
  5. 2023The Perils & Promises of Fact-checking with Large Language Modelscited by 31
  6. 2022CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweetscited by 29
  7. 2024The Automated Verification of Textual Claims (AVeriTeC) Shared Taskcited by 29
  8. 2024I Don't Know: Explicit Modeling of Uncertainty with an [IDK] Tokencited by 26
  9. 2021Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learningcited by 25
  10. 2024Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answeringcited by 25
  11. 2024Claim Verification in the Age of Large Language Models: A Surveycited by 24
  12. 2023Fast and Accurate Factual Inconsistency Detection Over Long Documentscited by 23
  13. 2024Ev2R: Evaluating Evidence Retrieval in Automated Fact-Checkingcited by 18
  14. 2023"Why is this misleading?": Detecting News Headline Hallucinations with Explanationscited by 17
  15. 2021Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claimscited by 16
  16. 2022Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?cited by 16
  17. 2024Do We Need Language-Specific Fact-Checking Models? The Case of Chinesecited by 15
  18. 2024A synthetic data approach for domain generalization of NLI modelscited by 15
  19. 2021Joint Models for Answer Verification in Question Answering Systemscited by 13
  20. 2024HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claimscited by 12
  21. 2025CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers?cited by 12
  22. 2022Calibration of Machine Reading Systems at Scalecited by 11
  23. 2023Synergistic Interplay between Search and Large Language Models for Information Retrievalcited by 11
  24. 2025SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrievalcited by 11
  25. 2022Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Mediacited by 10
  26. 2024Attacking Misinformation Detection Using Adversarial Examples Generated by Language Modelscited by 10
  27. 2024ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Modelscited by 9
  28. 2021AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checkingcited by 8
  29. 2022TRUE: Re-evaluating Factual Consistency Evaluationcited by 8
  30. 2023Verifying the Robustness of Automatic Credibility Assessmentcited by 8
  31. 2024AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskcited by 8
  32. 2022Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweetscited by 7
  33. 2022A Win-win Deal: Towards Sparse and Robust Pre-trained Language Modelscited by 7
  34. 2024Leveraging Graph Structures to Detect Hallucinations in Large Language Modelscited by 7
  35. 2024Improve Dense Passage Retrieval with Entailment Tuningcited by 7
  36. 2024FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guaranteescited by 7
  37. 2022CsFEVER and CTKFacts: Acquiring Czech data for fact verificationcited by 6
  38. 2023Insights into Classifying and Mitigating LLMs' Hallucinationscited by 6

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