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+license: cc-by-sa-4.0
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+---
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+# LayoutXLM
+**Multimodal (text + layout/format + image) pre-training for document AI**
+
+[Github Repository](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