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  - modernbert
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  ---
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- # lv-mbert-large
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- Latvian ModernBERT encoder model released with the paper **"Pretraining and Benchmarking Modern Encoders for Latvian"**.
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  For evaluation code and benchmark results, see:
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  https://github.com/LUMII-AILab/latvian-encoders
@@ -20,25 +20,23 @@ https://github.com/LUMII-AILab/latvian-encoders
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  ## Citation
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  ```bibtex
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- @inproceedings{znotins-2026-pretraining,
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  title = "Pretraining and Benchmarking Modern Encoders for {L}atvian",
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  author = "Znotins, Arturs",
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- editor = "Hettiarachchi, Hansi and
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- Ranasinghe, Tharindu and
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- Plum, Alistair and
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- Rayson, Paul and
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- Mitkov, Ruslan and
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- Gaber, Mohamed and
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- Premasiri, Damith and
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- Tan, Fiona Anting and
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- Uyangodage, Lasitha",
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- booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages ({L}o{R}es{LM} 2026)",
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- month = mar,
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  year = "2026",
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- address = "Rabat, Morocco",
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  publisher = "Association for Computational Linguistics",
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  url = "https://aclanthology.org/2026.loreslm-1.40/",
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- pages = "461--470",
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- ISBN = "979-8-89176-377-7"
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
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  - modernbert
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  ---
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+ # Latvian ModernBERT large model
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+ Latvian ModernBERT text encoder model, released with the paper **"Pretraining and Benchmarking Modern Encoders for Latvian"**.
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  For evaluation code and benchmark results, see:
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  https://github.com/LUMII-AILab/latvian-encoders
 
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  ## Citation
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  ```bibtex
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+ @inproceedings{znotins-2026-modern_lv_encoders,
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  title = "Pretraining and Benchmarking Modern Encoders for {L}atvian",
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  author = "Znotins, Arturs",
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+ booktitle = "Proceedings of the Second Workshop on Language Models for Low-Resource Languages ({LoResLM})",
 
 
 
 
 
 
 
 
 
 
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  year = "2026",
 
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  publisher = "Association for Computational Linguistics",
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  url = "https://aclanthology.org/2026.loreslm-1.40/",
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+ pages = "461--470"
 
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  }
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  ```
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+
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+ ## See also
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+
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+ - https://huggingface.co/AiLab-IMCS-UL/lv-roberta-base
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+ - https://huggingface.co/AiLab-IMCS-UL/lv-deberta-base
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+
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+
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+ ## Acknowledgements
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+
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+ This work was supported by the EU Recovery and Resilience Facility project [Language Technology Initiative](https://www.vti.lu.lv) (2.3.1.1.i.0/1/22/I/CFLA/002).