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README.md
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@@ -145,4 +145,17 @@ Below, you can see the F1 score on several text classification datasets. All tes
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| MoritzLaurer/cap\_sotu | 0.3935 | 0.4614 | 0.4589 |
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| cornell/rotten\_tomatoes | 0.7252 | 0.7943 | 0.8411 |
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| snips | 0.6307 | 0.9474 | 0.9692 |
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| **Average** | **0.5778** | **0.6764** | **0.7193** |
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| MoritzLaurer/cap\_sotu | 0.3935 | 0.4614 | 0.4589 |
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| cornell/rotten\_tomatoes | 0.7252 | 0.7943 | 0.8411 |
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| snips | 0.6307 | 0.9474 | 0.9692 |
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| **Average** | **0.5778** | **0.6764** | **0.7193** |
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## Citation
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```bibtex
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@misc{stepanov2025gliclassgeneralistlightweightmodel,
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title={GLiClass: Generalist Lightweight Model for Sequence Classification Tasks},
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author={Ihor Stepanov and Mykhailo Shtopko and Dmytro Vodianytskyi and Oleksandr Lukashov and Alexander Yavorskyi and Mykyta Yaroshenko},
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year={2025},
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eprint={2508.07662},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2508.07662},
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}
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```
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