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@@ -21,9 +21,19 @@ The dataset is split into train, val and test sets sourced from it original dist
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  This dataset is built upon the existing datasets. We therefore follow its original license information.
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  ## Citation Information
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- If you feel our work is helpful, please cite our paper:
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  ```
 
 
 
 
 
 
 
 
 
 
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  @inproceedings{liu2024nlebench+,
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  title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
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  author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
@@ -31,4 +41,4 @@ If you feel our work is helpful, please cite our paper:
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  pages={5543--5560},
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  year={2024}
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  }
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- ```
 
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  This dataset is built upon the existing datasets. We therefore follow its original license information.
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  ## Citation Information
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+ If you feel our work is helpful, please cite our papers:
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  ```
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+ @misc{gulla2026norwaislargelanguagemodels,
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+ title={NorwAI's Large Language Models: Technical Report},
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+ author={Jon Atle Gulla and Peng Liu and Lemei Zhang},
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+ year={2026},
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+ eprint={2601.03034},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2601.03034},
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+ }
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+
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  @inproceedings{liu2024nlebench+,
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  title={NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian},
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  author={Liu, Peng and Zhang, Lemei and Farup, Terje and Lauvrak, Even and Ingvaldsen, Jon and Eide, Simen and Gulla, Jon Atle and Yang, Zhirong},
 
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  pages={5543--5560},
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  year={2024}
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  }
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+ ```