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Scientific Claim Verification with VERT5ERINI

arXiv 2010.11930 ↗First posted 22 Oct 2020cs.CL cs.IRcited by 47

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Abstract (arXiv)

This work describes the adaptation of a pretrained sequence-to-sequence model to the task of scientific claim verification in the biomedical domain. We propose VERT5ERINI that exploits T5 for abstract retrieval, sentence selection and label prediction, which are three critical sub-tasks of claim verification. We evaluate our pipeline on SCIFACT, a newly curated dataset that requires models to not just predict the veracity of claims but also provide relevant sentences from a corpus of scientific literature that support this decision. Empirically, our pipeline outperforms a strong baseline in each of the three steps. Finally, we show VERT5ERINI's ability to generalize to two new datasets of COVID-19 claims using evidence from the ever-expanding CORD-19 corpus.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Oct 2020.

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Citing papers per year: 2021: 5; 2022: 13; 2023: 8; 2024: 8; 2025: 6; 2026: 7.

47 papers.

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  1. 2021MultiVerS: Improving scientific claim verification with weak supervision and full-document contextcited by 140
  2. 2022State-of-the-art generalisation research in NLP: A taxonomy and reviewcited by 97
  3. 2022SciFact-Open: Towards open-domain scientific claim verificationcited by 94
  4. 2022Generating Scientific Claims for Zero-Shot Scientific Fact Checkingcited by 59
  5. 2021Automated Fact-Checking: A Surveycited by 55
  6. 2023Scientific Fact-Checking: A Survey of Resources and Approachescited by 53
  7. 2022Synthetic Disinformation Attacks on Automated Fact Verification Systemscited by 44
  8. 2024Claim Verification in the Age of Large Language Models: A Surveycited by 23
  9. 2021Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verificationcited by 20
  10. 2024Generative Large Language Models in Automated Fact-Checking: A Surveycited by 19
  11. 2021Overview and Insights from the SciVer Shared Task on Scientific Claim Verificationcited by 17
  12. 2022CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrievalcited by 14
35 more
  1. 2022RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Mediacited by 13
  2. 2022Claim-Dissector: An Interpretable Fact-Checking System with Joint Re-ranking and Veracity Predictioncited by 12
  3. 2023BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verificationcited by 11
  4. 2024Can Large Language Models Detect Misinformation in Scientific News Reporting?cited by 9
  5. 2022Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweetscited by 7
  6. 2021QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verificationcited by 6
  7. 2022Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issuescited by 6
  8. 2023Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Modelscited by 6
  9. 2023Can Large Language Models Discern Evidence for Scientific Hypotheses? Case Studies in the Social Sciencescited by 6
  10. 2025The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Paperscited by 6
  11. 2022RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim Verificationcited by 5
  12. 2022Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Trainingcited by 5
  13. 2024MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verificationcited by 5
  14. 2024Minimal Evidence Group Identification for Claim Verificationcited by 5
  15. 2025Adversarial Attacks Against Automated Fact-Checking: A Surveycited by 5
  16. 2024Detecting Reference Errors in Scientific Literature with Large Language Modelscited by 4
  17. 2023BanMANI: A Dataset to Identify Manipulated Social Media News in Banglacited by 3
  18. 2022Check-worthy Claim Detection across Topics for Automated Fact-checkingcited by 2
  19. 2023ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Mediacited by 2
  20. 2023Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Paperscited by 2
  21. 2023Evidence-based Interpretable Open-domain Fact-checking with Large Language Modelscited by 2
  22. 2025SciClaims: An End-to-End Generative System for Biomedical Claim Analysiscited by 2
  23. 2025+VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checkingcited by 2
  24. 2026Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attributioncited by 2
  25. 2022Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classificationcited by 1
  26. 2024Multi-Evidence based Fact Verification via A Confidential Graph Neural Networkcited by 1
  27. 2024Identifying and Aligning Medical Claims Made on Social Media with Medical Evidencecited by 0
  28. 2025BERT-based model for Vietnamese Fact Verification Datasetcited by 0
  29. 2025Automatic Fact-checking in English and Telugucited by 0
  30. 2026TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inferencecited by 0
  31. 2026Context Selection for Hypothesis and Statistical Evidence Extraction from Full-Text Scientific Articlescited by 0
  32. 2026Detecting Corporate AI-Washing via Cross-Modal Semantic Inconsistency Learningcited by 0
  33. 2026Detection and Interpretability Analysis of Quotation Errors by Large Language Modelscited by 0
  34. 2026HNR-DAC: Hard-Negative Reranking and Distribution-Aligned Classification for Scientific Claim Verificationcited by 0
  35. 2026Can Scientific Claims Be Removed from Large Language Models? A Systematic Evaluation of Claim-Level Unlearningcited by 0