mlsanityData to 7 Oct 2026

QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking

arXiv 2310.07609 ↗First posted 11 Oct 2023cs.CLcited by 26

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Abstract (arXiv)

Fact-checking real-world claims often requires complex, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decision-making, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multi-hop Fact-Checking (QACHECK) system, which guides the model's reasoning process by asking a series of questions critical for verifying a claim. QACHECK has five key modules: a claim verifier, a question generator, a question-answering module, a QA validator, and a reasoner. Users can input a claim into QACHECK, which then predicts its veracity and provides a comprehensive report detailing its reasoning process, guided by a sequence of (question, answer) pairs. QACHECK also provides the source of evidence supporting each question, fostering a transparent, explainable, and user-friendly fact-checking process. A recorded video of QACHECK is at https://www.youtube.com/watch?v=ju8kxSldM64

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). Builds on 35 of its 41 references that are in the map. First posted on arXiv 11 Oct 2023.

Builds on

35 of 41 references.

References · 35

  1. 2023GPT-4 Technical Reportcited by 18,132
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  7. 2016SQuAD: 100,000+ Questions for Machine Comprehension of Textcited by 4,115
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  9. 2017Reading Wikipedia to Answer Open-Domain Questionscited by 777
  10. 2020KILT: a Benchmark for Knowledge Intensive Language Taskscited by 571
  11. 2019TabFact: A Large-scale Dataset for Table-based Fact Verificationcited by 425
  12. 2021A Survey on Automated Fact-Checkingcited by 376
23 more
  1. 2022Generate rather than Retrieve: Large Language Models are Strong Context Generatorscited by 296
  2. 2020Explainable Automated Fact-Checking for Public Health Claimscited by 209
  3. 2020HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verificationcited by 199
  4. 2021FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured informationcited by 166
  5. 2023Fact-Checking Complex Claims with Program-Guided Reasoningcited by 146
  6. 2020GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Mediacited by 108
  7. 2019Fine-grained Fact Verification with Kernel Graph Attention Networkcited by 105
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  9. 2019Reasoning Over Semantic-Level Graph for Fact Checkingcited by 69
  10. 2022Generating Literal and Implied Subquestions to Fact-check Complex Claimscited by 66
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  12. 2023FactKG: Fact Verification via Reasoning on Knowledge Graphscited by 57
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  14. 2023SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tablescited by 51
  15. 2023Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checkingcited by 34
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  19. 2021Generating Fluent Fact Checking Explanations with Unsupervised Post-Editingcited by 15
  20. 2023FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answeringcited by 15
  21. 2022Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verificationcited by 11
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 10; 2025: 12; 2026: 4.

26 papers.

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  1. 2024Claim Verification in the Age of Large Language Models: A Surveycited by 23
  2. 2024Generative Large Language Models in Automated Fact-Checking: A Surveycited by 19
  3. 2024Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?cited by 17
  4. 2025AVerImaTeC: A Dataset for Automatic Verification of Image-Text Claims with Evidence from the Webcited by 17
  5. 2025Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMscited by 16
  6. 2024Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approachescited by 15
  7. 2024Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citationscited by 15
  8. 2025COVE: COntext and VEracity prediction for out-of-context imagescited by 14
  9. 2025Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoningcited by 14
  10. 2024CHECKWHY: Causal Fact Verification via Argument Structurecited by 9
  11. 2025The Missing Parts: Augmenting Fact Verification with Half-Truth Detectioncited by 7
  12. 2024ChronoFact: Timeline-based Temporal Fact Verificationcited by 4
14 more
  1. 2025Coordinating Search-Informed Reasoning and Reasoning-Guided Search in Claim Verificationcited by 4
  2. 2026Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verificationcited by 4
  3. 2024Navigating the Noisy Crowd: Finding Key Information for Claim Verificationcited by 3
  4. 2025GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphscited by 2
  5. 2025Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verificationcited by 2
  6. 2026DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verificationcited by 2
  7. 2024ZeFaV: Boosting Large Language Models for Zero-shot Fact Verificationcited by 1
  8. 2025ShortCheck: Checkworthiness Detection of Multilingual Short-Form Videoscited by 1
  9. 2026RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wildcited by 1
  10. 2024LoraMap: Harnessing the Power of LoRA Connectionscited by 0
  11. 2025Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Modelscited by 0
  12. 2025Beyond Retrieval: Improving Evidence Quality for LLM-based Multimodal Fact-Checkingcited by 0
  13. 2025RW-Post: Auditable Evidence-Grounded Multimodal Fact-Checking in the Wildcited by 0
  14. 2026Verify as You Go: An LLM-Powered Browser Extension for Fake News Detectioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025MultiHoax: A Dataset of Multi-hop False-Premise Questions
  2. 2026REALHOP: Rethinking Multi-Hop Reasoning Evaluation via Behavioral Auditing
  3. 2025DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
  4. 2023EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
  5. 2025Reasoning Paths as Signals: Augmenting Multi-hop Fact Verification through Structural Reasoning Progression
  6. 2026ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification
  7. 2026Diagnosing the Fact-Grounding Gap in Multi-Hop Question Answering
  8. 2026Locally Sound, Globally Insufficient: The Local-Global Gap in Multi-Hop Reasoning