mlsanityData to 7 Oct 2026

MinerU: An Open-Source Solution for Precise Document Content Extraction

arXiv 2409.18839 ↗First posted 27 Sep 2024cs.CVcited by 255

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Cited by 53 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Document content analysis has been a crucial research area in computer vision. Despite significant advancements in methods such as OCR, layout detection, and formula recognition, existing open-source solutions struggle to consistently deliver high-quality content extraction due to the diversity in document types and content. To address these challenges, we present MinerU, an open-source solution for high-precision document content extraction. MinerU leverages the sophisticated PDF-Extract-Kit models to extract content from diverse documents effectively and employs finely-tuned preprocessing and postprocessing rules to ensure the accuracy of the final results. Experimental results demonstrate that MinerU consistently achieves high performance across various document types, significantly enhancing the quality and consistency of content extraction. The MinerU open-source project is available at https://github.com/opendatalab/MinerU.

Key facts. Cited by 255 papers in the map (data through 7 Oct 2026). Builds on 32 of its 39 references that are in the map. First posted on arXiv 27 Sep 2024.

Builds on

32 of 39 references.

References · 32

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2023GPT-4 Technical Reportcited by 18,132
  3. 2024The Llama 3 Herd of Modelscited by 14,192
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  5. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
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20 more
  1. 2023In-Context Retrieval-Augmented Language Modelscited by 694
  2. 2024YOLOv10: Real-Time End-to-End Object Detectioncited by 508
  3. 2022LayoutLMv3: Pre-training for Document AI with Unified Text and Image Maskingcited by 481
  4. 2021OCR-free Document Understanding Transformercited by 400
  5. 2024InternLM2 Technical Reportcited by 391
  6. 2023Nougat: Neural Optical Understanding for Academic Documentscited by 240
  7. 2019Image-based table recognition: data, model, and evaluationcited by 233
  8. 2024mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understandingcited by 220
  9. 2024General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Modelcited by 174
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  11. 2024mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understandingcited by 113
  12. 2023KOSMOS-2.5: A Multimodal Literate Modelcited by 95
  13. 2023Vary: Scaling up the Vision Vocabulary for Large Vision-Language Modelscited by 84
  14. 2024Focus Anywhere for Fine-grained Multi-page Document Understandingcited by 62
  15. 2024Small Language Model Meets with Reinforced Vision Vocabularycited by 43
  16. 2024UniMERNet: A Universal Network for Real-World Mathematical Expression Recognitioncited by 41
  17. 2021PingAn-VCGroup's Solution for ICDAR 2021 Competition on Scientific Literature Parsing Task B: Table Recognition to HTMLcited by 39
  18. 2024Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matchingcited by 39
  19. 2024DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Modelscited by 34
  20. 2023DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyondcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 8; 2025: 105; 2026: 142.

255 papers.

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  1. 2025DeepSeek-OCR: Contexts Optical Compressioncited by 174
  2. 2024OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotationscited by 144
  3. 2025PaddleOCR 3.0 Technical Reportcited by 136
  4. 2025olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Modelscited by 120
  5. 2025MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsingcited by 108
  6. 2025DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Processcited by 97
  7. 2025PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Modelcited by 84
  8. 2025Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learningcited by 82
  9. 2025MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigmcited by 81
  10. 2024DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perceptioncited by 80
  11. 2025Dolphin: Document Image Parsing via Heterogeneous Anchor Promptingcited by 78
  12. 2026DeepSeek-OCR 2: Visual Causal Flowcited by 68
38 more
  1. 2025PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoningcited by 58
  2. 2025SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversioncited by 51
  3. 2025Intern-S1: A Scientific Multimodal Foundation Modelcited by 49
  4. 2025SurveyForge: On the Outline Heuristics, Memory-Driven Generation, and Multi-dimensional Evaluation for Automated Survey Writingcited by 47
  5. 2025MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoningcited by 45
  6. 2024Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extractioncited by 44
  7. 2025dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Modelcited by 44
  8. 2025MMDocIR: Benchmarking Multimodal Retrieval for Long Documentscited by 43
  9. 2025olmOCR 2: Unit Test Rewards for Document OCRcited by 41
  10. 2025POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversioncited by 34
  11. 2025AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineagecited by 29
  12. 2026STEP3-VL-10B Technical Reportcited by 28
  13. 2026MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scalecited by 26
  14. 2024OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generationcited by 24
  15. 2025GraphRAG-Bench: Challenging Domain-Specific Reasoning for Evaluating Graph Retrieval-Augmented Generationcited by 24
  16. 2024GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-trainingcited by 23
  17. 2026LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCRcited by 22
  18. 2026Dolphin-v2: Universal Document Parsing via Scalable Anchor Promptingcited by 20
  19. 2025Docopilot: Improving Multimodal Models for Document-Level Understandingcited by 19
  20. 2025AutoP2C: An LLM-Based Agent Framework for Code Repository Generation from Multimodal Content in Academic Paperscited by 18
  21. 2025RAG-Anything: All-in-One RAG Frameworkcited by 18
  22. 2025HunyuanOCR Technical Reportcited by 18
  23. 2025Resolving Evidence Sparsity: Agentic Context Engineering for Long-Document Understandingcited by 18
  24. 2025MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrievalcited by 17
  25. 2025Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsingcited by 17
  26. 2025MMGraphRAG: Bridging Vision and Language with Interpretable Multimodal Knowledge Graphscited by 16
  27. 2025Logics-Parsing Technical Reportcited by 16
  28. 2025BookRAG: A Hierarchical Structure-aware Index-based Approach for Retrieval-Augmented Generation on Complex Documentscited by 16
  29. 2025MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generationcited by 15
  30. 2025PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literaturecited by 15
  31. 2024PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Samplingcited by 14
  32. 2025AMSbench: A Comprehensive Benchmark for Evaluating MLLM Capabilities in AMS Circuitscited by 14
  33. 2025PhysUniBench: A Multi-Modal Physics Reasoning Benchmark at Undergraduate Levelcited by 14
  34. 2025MonkeyOCR v1.5 Technical Report: Unlocking Robust Document Parsing for Complex Patternscited by 13
  35. 2025Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCRcited by 12
  36. 2025Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedbackcited by 12
  37. 2025UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameterscited by 12
  38. 2026FireRed-OCR Technical Reportcited by 12

50 most cited of 255 All 255 (JSON)