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@@ -9,6 +9,17 @@ LayoutLMv3 is a pre-trained multimodal Transformer for Document AI with unified
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[LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://arxiv.org/abs/2204.08387)
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Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei, Preprint 2022.
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## Citation
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If you find LayoutLM useful in your research, please cite the following paper:
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[LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking](https://arxiv.org/abs/2204.08387)
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Yupan Huang, Tengchao Lv, Lei Cui, Yutong Lu, Furu Wei, Preprint 2022.
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## Results
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#### Results on [XFUND](https://github.com/doc-analysis/XFUND)
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| Language | Precision | Recall | F1 |
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|-----------|------------|------|--------|
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| ZH | 0.8910 | 0.9374 | 0.9136 |
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#### Results on [EPHOIE](https://github.com/HCIILAB/EPHOIE)
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| Subject | Test Time | Name | School | Examination Number | Seat Number | Class | Student Number | Grade | Score | **Mean** |
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|:------------|:------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------:|
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| 98.48 | 100 | 99.36 | 98.86 | 100 | 100 | 98.73 | 98.89 | 97.59 | 97.78 | 98.97 |
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## Citation
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If you find LayoutLM useful in your research, please cite the following paper:
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