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Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation

arXiv 2309.08793 ↗First posted 15 Sep 2023cs.AI cs.CE cs.LGcited by 25

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Abstract (arXiv)

Fact-checking in financial domain is under explored, and there is a shortage of quality dataset in this domain. In this paper, we propose Fin-Fact, a benchmark dataset for multimodal fact-checking within the financial domain. Notably, it includes professional fact-checker annotations and justifications, providing expertise and credibility. With its multimodal nature encompassing both textual and visual content, Fin-Fact provides complementary information sources to enhance factuality analysis. Its primary objective is combating misinformation in finance, fostering transparency, and building trust in financial reporting and news dissemination. By offering insightful explanations, Fin-Fact empowers users, including domain experts and end-users, to understand the reasoning behind fact-checking decisions, validating claim credibility, and fostering trust in the fact-checking process. The Fin-Fact dataset, along with our experimental codes is available at https://github.com/IIT-DM/Fin-Fact/.

Key facts. Cited by 25 papers in the map (data through 14 Oct 2026). Builds on 17 of its 41 references that are in the map. First posted on arXiv 15 Sep 2023.

Builds on

17 of 41 references.

References · 17

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  3. 2023InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuningcited by 2,876
  4. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,375
  5. 2019PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarizationcited by 1,102
  6. 2020Fact or Fiction: Verifying Scientific Claimscited by 554
  7. 2021XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languagescited by 347
  8. 2020Generating Fact Checking Explanationscited by 132
  9. 2021COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemiccited by 100
  10. 2022SciFact-Open: Towards open-domain scientific claim verificationcited by 94
  11. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 91
  12. 2019A Richly Annotated Corpus for Different Tasks in Automated Fact-Checkingcited by 74
5 more
  1. 2020Generating Fact Checking Briefscited by 50
  2. 2020BanFakeNews: A Dataset for Detecting Fake News in Banglacited by 40
  3. 2020MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformationcited by 37
  4. 2021Overview and Insights from the SciVer Shared Task on Scientific Claim Verificationcited by 17
  5. 2023Investigating Online Financial Misinformation and Its Consequences: A Computational Perspectivecited by 8

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Citing papers per year: 2023: 2; 2024: 6; 2025: 8; 2026: 9.

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  1. 2023Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queriescited by 82
  2. 2024Open-FinLLMs: Open Multimodal Large Language Models for Financial Applicationscited by 36
  3. 2024FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documentscited by 19
  4. 2025FinMTEB: Finance Massive Text Embedding Benchmarkcited by 18
  5. 2025SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verificationcited by 17
  6. 2025RARE: Retrieval-Augmented Reasoning Modelingcited by 11
  7. 2023Are Large Language Models Good Fact Checkers: A Preliminary Studycited by 8
  8. 2024LlamaLens: Specialized Multilingual LLM for Analyzing News and Social Media Contentcited by 6
  9. 2026VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-Checkingcited by 6
  10. 2024LiveFC: A System for Live Fact-Checking of Audio Streamscited by 5
  11. 2025Attacks by Content: Automated Fact-checking is an AI Security Issuecited by 4
  12. 2026All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detectioncited by 4
13 more
  1. 2025A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decompositioncited by 3
  2. 2024FMDLlama: Financial Misinformation Detection based on Large Language Modelscited by 2
  3. 2026Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detectioncited by 2
  4. 2025FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detectioncited by 1
  5. 2026AdversaRiskQA: An Adversarial Factuality Benchmark for High-Risk Domainscited by 1
  6. 2026Contradiction to Consensus: Dual Perspective, Multi Source Retrieval Based Claim Verification with Source Level Disagreement using LLMcited by 1
  7. 2024SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domainscited by 0
  8. 2025KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understandingcited by 0
  9. 2025PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agentscited by 0
  10. 2026MisSpans: Fine-Grained False Span Identification in Cross-Domain Fake Newscited by 0
  11. 2026UniFinEval: Towards Unified Evaluation of Financial Multimodal Models across Text, Images and Videoscited by 0
  12. 2026XNote: Benchmarking Automated Community Notes Generation for Image-based Contextual Deceptioncited by 0
  13. 2026Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessitycited by 0