Update README.md

README.md

@@ -296,3 +296,16 @@ If you want to use MedMT5 for Sequence Labeling, we recommend you use this code:
 <p align="justify">
 Our research in developing MedMT5, a multilingual text-to-text model for the medical domain, has ethical implications that we acknowledge. Firstly, the broader impact of this work lies in its potential to improve medical communication and understanding across languages, which can enhance healthcare access and quality for diverse linguistic communities. However, it also raises ethical considerations related to privacy and data security. To create our multilingual corpus, we have taken measures to anonymize and protect sensitive patient information, adhering to data protection regulations in each language's jurisdiction or deriving our data from sources that explicitly address this issue in line with privacy and safety regulations and guidelines. Furthermore, we are committed to transparency and fairness in our model's development and evaluation. We have worked to ensure that our benchmarks are representative and unbiased, and we will continue to monitor and address any potential biases in the future. Finally, we emphasize our commitment to open source by making our data, code, and models publicly available, with the aim of promoting collaboration within the research community.
 </p>
+
+## Citation
+
+We will soon release a paper, but, for now, you can use:
+
+```bibtext
+@misc{medMt5,
+ title     = "{MedMT5: 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}",
+ url       = "https://huggingface.co/collections/HiTZ/medical-mt5-65413b334cb81ed6dea67cfe",    
+ year = 2023 }
+
+```