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Optical Character Recognition

Papers

Showing 125 of 526 papers

TitleStatusHype
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingCode9
Nougat: Neural Optical Understanding for Academic DocumentsCode5
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and ReasoningCode4
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of EncodersCode4
Playing Non-Embedded Card-Based Games with Reinforcement LearningCode3
OCR-free Document Understanding TransformerCode3
MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K CategoriesCode2
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented GenerationCode2
ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry AreaCode2
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text RecognitionCode2
NAF-DPM: A Nonlinear Activation-Free Diffusion Probabilistic Model for Document EnhancementCode2
DTrOCR: Decoder-only Transformer for Optical Character RecognitionCode2
OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsCode2
IMKGA-SM: Interpretable Multimodal Knowledge Graph Answer Prediction via Sequence ModelingCode2
Text Detection Forgot About Document OCRCode2
Delivering Document Conversion as a Cloud Service with High Throughput and ResponsivenessCode2
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR SystemCode2
PP-OCR: A Practical Ultra Lightweight OCR SystemCode2
Uni-MuMER: Unified Multi-Task Fine-Tuning of Vision-Language Model for Handwritten Mathematical Expression RecognitionCode1
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?Code1
LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?Code1
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical DocumentsCode1
Benchmarking Vision-Language Models on Optical Character Recognition in Dynamic Video EnvironmentsCode1
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