# layoutxlm-base

**Repository Path**: allces/layoutxlm-base

## Basic Information

- **Project Name**: layoutxlm-base
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
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## Statistics

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- **Created**: 2021-09-28
- **Last Updated**: 2021-09-28

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## README

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license: cc-by-sa-4.0

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# LayoutXLM
**Multimodal (text + layout/format + image) pre-training for document AI**

[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://github.com/microsoft/unilm/tree/master/layoutxlm)
## Introduction
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.

[LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding](https://arxiv.org/abs/2104.08836)

Yiheng Xu, Tengchao Lv, Lei Cui, Guoxin Wang, Yijuan Lu, Dinei Florencio, Cha Zhang, Furu Wei, arXiv Preprint 2021