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Update README with Citation Info

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@@ -162,4 +162,15 @@ We benchmark on three scenarios with an increasing presence of Blender-modified
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  | | F1 | F1 | F1 | F1 | | |
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  | **LayoutLMv2** | 0.5536 | 0.3764 | 0.4984 | 0.8276 | Eng. | 7324 / 1831 / 4349 |
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  | **LayoutLMv3** | 0.3452 | 0.2681 | 0.6370 | 0.9029 | Eng. | 7324 / 1831 / 4349 |
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- | **LayoutXLM** | 0.5977 | 0.3295 | 0.4489 | 0.7550 | Spa. | 8115 / 2028 / 4426 |
 
 
 
 
 
 
 
 
 
 
 
 
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  | | F1 | F1 | F1 | F1 | | |
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  | **LayoutLMv2** | 0.5536 | 0.3764 | 0.4984 | 0.8276 | Eng. | 7324 / 1831 / 4349 |
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  | **LayoutLMv3** | 0.3452 | 0.2681 | 0.6370 | 0.9029 | Eng. | 7324 / 1831 / 4349 |
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+ | **LayoutXLM** | 0.5977 | 0.3295 | 0.4489 | 0.7550 | Spa. | 8115 / 2028 / 4426 |
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+ ## Citation
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+
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+ If you find our research interesting, please cite our work. 📃✒️
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+ @article{de2024merit,
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+ title={The MERIT Dataset: Modelling and Efficiently Rendering Interpretable Transcripts},
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+ author={de Rodrigo, I and Sanchez-Cuadrado, A and Boal, J and Lopez-Lopez, AJ},
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+ journal={arXiv preprint arXiv:2409.00447},
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+ year={2024}
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+ }