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document understanding

Document understanding involves document classification, layout analysis, information extraction, and DocQA.

Papers

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Showing 1–25 of 309 papers

TitleStatusHype
Qwen2.5-VL Technical ReportCode11
DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive PerceptionCode9
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningCode7
ColPali: Efficient Document Retrieval with Vision Language ModelsCode7
Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image PyramidCode5
Focus Anywhere for Fine-grained Multi-page Document UnderstandingCode5
TextMonkey: An OCR-Free Large Multimodal Model for Understanding DocumentCode5
LLMMapReduce: Simplified Long-Sequence Processing using Large Language ModelsCode4
MDocAgent: A Multi-Modal Multi-Agent Framework for Document UnderstandingCode3
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary ResolutionCode3
INTERS: Unlocking the Power of Large Language Models in Search with Instruction TuningCode3
Unifying Vision, Text, and Layout for Universal Document ProcessingCode3
OCR-free Document Understanding TransformerCode3
AIN: The Arabic INclusive Large Multimodal ModelCode2
Arabic-Nougat: Fine-Tuning Vision Transformers for Arabic OCR and Markdown ExtractionCode2
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse SamplingCode2
One missing piece in Vision and Language: A Survey on Comics UnderstandingCode2
A Bounding Box is Worth One Token: Interleaving Layout and Text in a Large Language Model for Document UnderstandingCode2
MMLongBench-Doc: Benchmarking Long-context Document Understanding with VisualizationsCode2
Visually Guided Generative Text-Layout Pre-training for Document IntelligenceCode2
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with InstructionsCode2
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessCode2
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document UnderstandingCode2
ICDAR 2021 Competition on Scientific Literature ParsingCode2
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
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