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DeepSeek-OCR: Contexts Optical Compression

📝 Summary:
DeepSeek-OCR compresses long contexts via optical 2D mapping to achieve high OCR precision with significantly reduced vision tokens. It shows 97% accuracy at 10x compression, outperforming other OCR models efficiently. This innovation holds practical value for document processing and LLM training...

🔹 Publication Date: Published on Oct 21, 2025

🔹 Paper Links:
• arXiv Page: https://arxivexplained.com/papers/deepseek-ocr-contexts-optical-compression
• PDF: https://arxiv.org/pdf/2510.18234
• Github: https://github.com/deepseek-ai/DeepSeek-OCR

🔹 Models citing this paper:
https://huggingface.co/deepseek-ai/DeepSeek-OCR
https://huggingface.co/deepseek-ai/DeepSeek-OCR-2
https://huggingface.co/unsloth/DeepSeek-OCR

Spaces citing this paper:
https://huggingface.co/spaces/merterbak/DeepSeek-OCR-Demo
https://huggingface.co/spaces/davidpcm/openclaw-stock-analyst
https://huggingface.co/spaces/khang119966/DeepSeek-OCR-DEMO

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#OCR #AI #DeepLearning #ContextCompression #LLM
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