Update README.md

README.md

@@ -221,26 +221,26 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 - **Compute Region:**  Italy
 - **Carbon Emitted:** 277.52kg CO2 eq
 
-## Acknowledgements
-
-This work has been partially supported by the Basque Government (IKER-GAITU project).
+## Citation
 
-It has also been partially supported by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project with reference 2022/TL22/00215335.
+To cite our work, please use:
 
-The models were trained on the Leonardo supercomputer at CINECA under the EuroHPC Joint Undertaking, project EHPC-EXT-2023E01-013.
+```bibtex
+@misc{sainz2025instructinglargelanguagemodels,
+      title={Instructing Large Language Models for Low-Resource Languages: A Systematic Study for Basque}, 
+      author={Oscar Sainz and Naiara Perez and Julen Etxaniz and Joseba Fernandez de Landa and Itziar Aldabe and Iker García-Ferrero and Aimar Zabala and Ekhi Azurmendi and German Rigau and Eneko Agirre and Mikel Artetxe and Aitor Soroa},
+      year={2025},
+      eprint={2506.07597},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2506.07597}, 
+}
+```
 
+## Acknowledgements
 
-## Citation
+This work has been partially supported by the Basque Government (IKER-GAITU project).
 
-Coming soon.
+It has also been partially supported by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project with reference 2022/TL22/00215335.
 
-Meanwhile, you can reference:
-```bibtex
-@misc{etxaniz2024latxa,
-  	title={{L}atxa: An Open Language Model and Evaluation Suite for {B}asque},
-  	author={Julen Etxaniz and Oscar Sainz and Naiara Perez and Itziar Aldabe and German Rigau and Eneko Agirre and Aitor Ormazabal and Mikel Artetxe and Aitor Soroa},
-  	year={2024},
-  	eprint={2403.20266},
-  	archivePrefix={arXiv},
-  	primaryClass={cs.CL}
-}
+The models were trained on the Leonardo supercomputer at CINECA under the EuroHPC Joint Undertaking, project EHPC-EXT-2023E01-013.