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  # CharBench - Character-level benchmark and analysis suite for LLMs.
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- Code is available in the [GitHub Repo.](https://github.com/omriuz/CharBench/)
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-
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  CharBench is a large-scale benchmark for studying tokenization and character-level behavior in modern language models.
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  For complete details on data curation and evaluation, see the [paper](https://arxiv.org/abs/2508.02591).
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  ## Usage
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  ```python
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  If you use CharBench, please cite:
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  ```
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- @misc{uzan2025charbenchevaluatingroletokenization,
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- title={CharBench: Evaluating the Role of Tokenization in Character-Level Tasks},
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- author={Omri Uzan and Yuval Pinter},
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- year={2025},
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- eprint={2508.02591},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2508.02591},
 
 
 
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  }
 
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  ```
 
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  # CharBench - Character-level benchmark and analysis suite for LLMs.
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  CharBench is a large-scale benchmark for studying tokenization and character-level behavior in modern language models.
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  For complete details on data curation and evaluation, see the [paper](https://arxiv.org/abs/2508.02591).
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+ If you have ideas and suggestions to improve charbench feel free to reach out!
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+ uzan dot omri at gmail.com
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+
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  ## Usage
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  ```python
 
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  If you use CharBench, please cite:
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  ```
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+ @inproceedings{uzan2026charbench,
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+ title = {CharBench: Evaluating the Role of Tokenization in Character-Level Tasks},
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+ author = {Uzan, Omri and Pinter, Yuval},
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+ booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
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+ year = {2026},
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+ address = {Singapore},
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+ note = {AAAI-26},
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+ eprint = {2508.02591},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.CL},
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+ url = {https://arxiv.org/abs/2508.02591}
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  }
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+
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  ```