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@@ -741,9 +741,16 @@ We benchmark on three scenarios with an increasing presence of Blender-modified
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  If you find our research interesting, please cite our work. 📄✏️
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  ```bibtex
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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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- }
 
 
 
 
 
 
 
 
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  If you find our research interesting, please cite our work. 📄✏️
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  ```bibtex
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+ @article{de2025merit,
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+ title={The MERIT dataset: Modelling and efficiently rendering interpretable transcripts},
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+ author={De Rodrigo, Ignacio and Sanchez-Cuadrado, Alberto and Boal, Jaime and Lopez-Lopez, Alvaro J},
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+ journal={Pattern Recognition},
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+ pages={112502},
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+ year={2025},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+ ## Annex
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+ The MERIT Dataset has also been used to fine-tune models and develop the VERSE Methodology. Learn more by reading [VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding the
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+ VERSE ](https://arxiv.org/abs/2601.05125)