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@@ -12,6 +12,21 @@ model-index:
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  # focus_bur_phi_focus_trained
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  This model is a fine-tuned version of [final_models/focus_bur_phi_after_focus_reinit](https://huggingface.co/final_models/focus_bur_phi_after_focus_reinit) on the mc4 my dataset.
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Paper and Citation
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+ Paper: [Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages
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+ ](https://arxiv.org/abs/2506.19187)
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+ ```
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+ @misc{toukmaji2025prompttranslatefinetunereinitialize,
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+ title={Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages},
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+ author={Christopher Toukmaji and Jeffrey Flanigan},
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+ year={2025},
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+ eprint={2506.19187},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2506.19187},
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+ }
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+ ```
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+
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  # focus_bur_phi_focus_trained
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  This model is a fine-tuned version of [final_models/focus_bur_phi_after_focus_reinit](https://huggingface.co/final_models/focus_bur_phi_after_focus_reinit) on the mc4 my dataset.