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@@ -57,13 +57,14 @@ SaulLM-54B was trained on a rich dataset comprising European and US legal texts,
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  To reference SaulLM-54B in your work, please cite this model card.
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  ```
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- @misc{saul_llm_2024,
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- title={SaulLM-54B: A Specialized Large Language Model for European Legal Tasks},
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- author={Legal Equall.ai and MICS CentraleSupélec},
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  year={2024},
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- eprint={2404.12345},
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  archivePrefix={arXiv},
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- primaryClass={cs.CL}
 
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  }
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  ```
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  To reference SaulLM-54B in your work, please cite this model card.
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  ```
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+ @misc{colombo2024saullm54bsaullm141bscaling,
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+ title={SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain},
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+ author={Pierre Colombo and Telmo Pires and Malik Boudiaf and Rui Melo and Dominic Culver and Sofia Morgado and Etienne Malaboeuf and Gabriel Hautreux and Johanne Charpentier and Michael Desa},
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  year={2024},
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+ eprint={2407.19584},
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  archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2407.19584},
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  }
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  ```
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