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README.md
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@@ -130,20 +130,21 @@ In all of the following evaluations, ViPE consistently demonstrates its robustne
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If you find ViPE useful, please cite our paper.
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```
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@inproceedings{
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title = "
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author = "
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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month = dec,
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year = "2023",
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address = "Singapore",
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publisher = "Association for Computational Linguistics",
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url = "https://
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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doi = "",
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pages = ""
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}
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```
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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If you find ViPE useful, please cite our paper.
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```
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@inproceedings{shahmohammadi-etal-2023-vipe,
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title = "{V}i{PE}: Visualise Pretty-much Everything",
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author = "Shahmohammadi, Hassan and
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Ghosh, Adhiraj and
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Lensch, Hendrik",
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editor = "Bouamor, Houda and
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Pino, Juan and
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Bali, Kalika",
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booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing",
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month = dec,
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year = "2023",
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address = "Singapore",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.emnlp-main.333",
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pages = "5477--5494"
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}
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```
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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