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@@ -76,14 +76,15 @@ Limited Scope: The model was trained on a relatively small dataset (9B tokens) c
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  If you use this model or the underlying concepts in your research, please cite our work:
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  ```
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- @misc{bochkov2025emergentsemanticstokenembeddings,
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- title={Emergent Semantics Beyond Token Embeddings: Transformer LMs with Frozen Visual Unicode Representations},
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- author={A. Bochkov},
 
 
 
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  year={2025},
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- eprint={2507.04886},
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- archivePrefix={arXiv},
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- primaryClass={cs.CL},
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- url={https://arxiv.org/abs/2507.04886},
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  }
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  @misc{bochkov2025growingtransformersmodularcomposition,
 
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  If you use this model or the underlying concepts in your research, please cite our work:
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  ```
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+ @article{
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+ bochkov2025emergent,
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+ title={Emergent Semantics Beyond Token Embeddings: Transformer {LM}s with Frozen Visual Unicode Representations},
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+ author={Andrey Bochkov},
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+ journal={Transactions on Machine Learning Research},
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+ issn={2835-8856},
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  year={2025},
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+ url={https://openreview.net/forum?id=Odh8IynO1o},
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+ note={}
 
 
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  }
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  @misc{bochkov2025growingtransformersmodularcomposition,