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Document Visual Question Answering Challenge 2020

arXiv 2008.08899 ↗First posted 20 Aug 2020cs.CV cs.IRcited by 20

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Abstract (arXiv)

This paper presents results of Document Visual Question Answering Challenge organized as part of "Text and Documents in the Deep Learning Era" workshop, in CVPR 2020. The challenge introduces a new problem - Visual Question Answering on document images. The challenge comprised two tasks. The first task concerns with asking questions on a single document image. On the other hand, the second task is set as a retrieval task where the question is posed over a collection of images. For the task 1 a new dataset is introduced comprising 50,000 questions-answer(s) pairs defined over 12,767 document images. For task 2 another dataset has been created comprising 20 questions over 14,362 document images which share the same document template.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2020.

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Citing papers per year: 2021: 2; 2022: 1; 2023: 4; 2024: 4; 2025: 6; 2026: 3.

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  1. 2025Unified Reward Model for Multimodal Understanding and Generationcited by 194
  2. 2023Document Understanding Dataset and Evaluation (DUDE)cited by 132
  3. 2022Hierarchical multimodal transformers for Multi-Page DocVQAcited by 102
  4. 2024A Survey on Evaluation of Multimodal Large Language Modelscited by 46
  5. 2021ICDAR 2021 Competition on Document VisualQuestion Answeringcited by 19
  6. 2023Privacy-Aware Document Visual Question Answeringcited by 17
  7. 2021Asking questions on handwritten document collectionscited by 14
  8. 2025The Confidence Paradox: Can LLM Know When It's Wrongcited by 11
  9. 2023Beyond Document Page Classification: Design, Datasets, and Challengescited by 10
  10. 2024Notes on Applicability of GPT-4 to Document Understandingcited by 7
  11. 2026DocSplit: A Comprehensive Benchmark Dataset and Evaluation Approach for Document Packet Recognition and Splittingcited by 5
  12. 2023Multiple-Question Multiple-Answer Text-VQAcited by 4
8 more
  1. 2025Multi-Agent Interactive Question Generation Framework for Long Document Understandingcited by 4
  2. 2025NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understandingcited by 3
  3. 2024NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQAcited by 2
  4. 2025SNS-Bench-VL: Benchmarking Multimodal Large Language Models in Social Networking Servicescited by 2
  5. 2024Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Datacited by 0
  6. 2025Evaluating VisualRAG: Quantifying Cross-Modal Performance in Enterprise Document Understandingcited by 0
  7. 2026PlanBench-V: A Spatial Planning Map Benchmark for Vision-Language Modelscited by 0
  8. 2026TestHallVQA: Exploring LVLMs' Document-Level Reasoning under Redundant Contexts from Scientific Examscited by 0