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README.md

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+# LayoutLMv3
+
+[Microsoft Document AI](https://www.microsoft.com/en-us/research/project/document-ai/) | [GitHub](https://aka.ms/layoutlmv3)
+
+## Model description
+
+LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified text and image masking. The simple unified architecture and training objectives make LayoutLMv3 a general-purpose pre-trained model. For example, LayoutLMv3 can be fine-tuned for both text-centric tasks, including form understanding, receipt understanding, and document visual question answering, and image-centric tasks such as document image classification and document layout analysis.
+
+[LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://arxiv.org/abs/2204.08387)
+Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei, Preprint 2022.
+
+## Citation
+
+If you find LayoutLM useful in your research, please cite the following paper:
+
+```
+@article{huang2022layoutlmv3,
+  title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
+  author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
+  journal={arXiv preprint arXiv:2204.08387},
+  year={2022}
+}
+```