mlsanityData to 7 Oct 2026

BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification

arXiv 2303.16974 ↗First posted 29 Mar 2023cs.CLcited by 11

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Abstract (arXiv)

Automatic fact verification has become an increasingly popular topic in recent years and among datasets the Fact Extraction and VERification (FEVER) dataset is one of the most popular. In this work we present BEVERS, a tuned baseline system for the FEVER dataset. Our pipeline uses standard approaches for document retrieval, sentence selection, and final claim classification, however, we spend considerable effort ensuring optimal performance for each component. The results are that BEVERS achieves the highest FEVER score and label accuracy among all systems, published or unpublished. We also apply this pipeline to another fact verification dataset, Scifact, and achieve the highest label accuracy among all systems on that dataset as well. We also make our full code available.

Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 14 of its 19 references that are in the map. First posted on arXiv 29 Mar 2023.

Builds on

14 of 19 references.

References · 14

  1. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,491
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
  3. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
  4. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,157
  5. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  6. 2020Fact or Fiction: Verifying Scientific Claimscited by 546
  7. 2019Fine-grained Fact Verification with Kernel Graph Attention Networkcited by 105
  8. 2020Coreferential Reasoning Learning for Language Representationcited by 80
  9. 2019Reasoning Over Semantic-Level Graph for Fact Checkingcited by 69
  10. 2018UKP-Athene: Multi-Sentence Textual Entailment for Claim Verificationcited by 60
  11. 2019BERT for Evidence Retrieval and Claim Verificationcited by 57
  12. 2021ProoFVer: Natural Logic Theorem Proving for Fact Verificationcited by 52
2 more
  1. 2020Scientific Claim Verification with VERT5ERINIcited by 47
  2. 2021Abstract, Rationale, Stance: A Joint Model for Scientific Claim Verificationcited by 20

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 3; 2025: 2; 2026: 1.

11 papers.

  1. 2023Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Modelscited by 31
  2. 2024On Evaluating Explanation Utility for Human-AI Decision Making in NLPcited by 9
  3. 2023QA-NatVer: Question Answering for Natural Logic-based Fact Verificationcited by 8
  4. 2023Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphscited by 8
  5. 2023Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Languagecited by 4
  6. 2023Evidence-based Interpretable Open-domain Fact-checking with Large Language Modelscited by 2
  7. 2024M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence Retrievalcited by 1
  8. 2024Rethinking Loss Functions for Fact Verificationcited by 0
  9. 2025BERT-based model for Vietnamese Fact Verification Datasetcited by 0
  10. 2025SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checkingcited by 0
  11. 2026Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curationcited by 0