Update README.md

README.md

@@ -37,7 +37,7 @@ We present Medical mT5, the first open-source text-to-text multilingual model fo
   medical domain data for English, Spanish, French, and Italian.
 </p>
 
-  - 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain]()
+  - 📖 Paper: [Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain](https://arxiv.org/abs/2404.07613)
   - 🌐 Project Website: [https://univ-cotedazur.eu/antidote](https://univ-cotedazur.eu/antidote)
 
 
@@ -342,13 +342,13 @@ Our research in developing Medical mT5, a multilingual text-to-text model for th
 
 ## Citation
 
-We will soon release a paper, but, for now, you can use:
-
 ```bibtext
-@inproceedings{medical-mt5,
- title     = "{{Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}}",
- author    = "{Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello}",
- publisher = "Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)",
- year = 2024 }
-
+@misc{garcíaferrero2024medical,
+      title={Medical mT5: An Open-Source Multilingual Text-to-Text LLM for The Medical Domain}, 
+      author={Iker García-Ferrero and Rodrigo Agerri and Aitziber Atutxa Salazar and Elena Cabrio and Iker de la Iglesia and Alberto Lavelli and Bernardo Magnini and Benjamin Molinet and Johana Ramirez-Romero and German Rigau and Jose Maria Villa-Gonzalez and Serena Villata and Andrea Zaninello},
+      year={2024},
+      eprint={2404.07613},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```