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@@ -75,4 +75,21 @@ Benchmark developed by MLSA Lab of Institute for AI, MSU.
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  The research is part of the project #23-Ш05-21 SES MSU "Development of mathematical methods of machine learning for processing large-volume textual scientific information". We would like to thank [eLibrary](https://elibrary.ru/) for provided datasets.
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  ### Contacts
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- Nikolai Gerasimenko (nikgerasimenko@gmail.com), Alexey Vatolin (vatolinalex@gmail.com)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The research is part of the project #23-Ш05-21 SES MSU "Development of mathematical methods of machine learning for processing large-volume textual scientific information". We would like to thank [eLibrary](https://elibrary.ru/) for provided datasets.
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  ### Contacts
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+ Nikolai Gerasimenko (nikgerasimenko@gmail.com), Alexey Vatolin (vatolinalex@gmail.com)
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+
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+ ### Citation
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+ ```bibtex
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+ @article{Gerasimenko2024,
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+ author = {Gerasimenko, N. and Vatolin, A. and Ianina, A. and Vorontsov, K.},
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+ title = {SciRus: Tiny and Powerful Multilingual Encoder for Scientific Texts},
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+ journal = {Doklady Mathematics},
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+ year = {2024},
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+ volume = {110},
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+ number = {1},
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+ pages = {S193--S202},
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+ month = {dec},
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+ issn = {1531-8362},
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+ doi = {10.1134/S1064562424602178},
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+ url = {https://doi.org/10.1134/S1064562424602178}
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+ }
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+ ```