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  # LayoutXLM
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  **Multimodal (text + layout/format + image) pre-training for document AI**
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- [Github Repository](https://github.com/microsoft/unilm/tree/master/layoutxlm)
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  ## Introduction
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  LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUN dataset.
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  # LayoutXLM
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  **Multimodal (text + layout/format + image) pre-training for document AI**
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+ [Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [Github Repository](https://github.com/microsoft/unilm/tree/master/layoutxlm)
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  ## Introduction
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  LayoutXLM is a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. Experiment results show that it has significantly outperformed the existing SOTA cross-lingual pre-trained models on the XFUN dataset.
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