Update README.md

README.md

@@ -64,17 +64,18 @@ It is distributed free of charge and under a most permissible license.
 
 
 **Albertina 1.5B PTPT 256** is developed by a joint team from the University of Lisbon and the University of Porto, Portugal. 
-For a fully detailed description, check the respective [publication](https://arxiv.org/abs/?):
+For a fully detailed description, check the respective [publication](https://arxiv.org/abs/2403.01897):
 
 ``` latex
 @misc{albertina-pt-fostering,
-      title={Fostering the Ecosystem of Open Neural Encoders for Portuguese
-             with Albertina PT-* family}, 
-      author={Rodrigo Santos and João Rodrigues and Luís Gomes and João Silva
+      title={Fostering the Ecosystem of Open Neural Encoders
+            for Portuguese with Albertina PT-* family}, 
+      author={Rodrigo Santos and João Rodrigues
+              and Luís Gomes and João Silva
               and António Branco and Henrique Lopes Cardoso
               and Tomás Freitas Osório and Bernardo Leite},
       year={2024},
-      eprint={?},
+      eprint={2403.01897},
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
@@ -196,17 +197,18 @@ The model can be used by fine-tuning it for a specific task:
 
 # Citation
 
-When using or citing this model, kindly cite the following [publication](https://arxiv.org/abs/?):
+When using or citing this model, kindly cite the following [publication](https://arxiv.org/abs/2403.01897):
 
 ``` latex
 @misc{albertina-pt-fostering,
-      title={Fostering the Ecosystem of Open Neural Encoders for Portuguese
-             with Albertina PT-* family}, 
-      author={Rodrigo Santos and João Rodrigues and Luís Gomes and João Silva
+      title={Fostering the Ecosystem of Open Neural Encoders
+            for Portuguese with Albertina PT-* family}, 
+      author={Rodrigo Santos and João Rodrigues
+              and Luís Gomes and João Silva
               and António Branco and Henrique Lopes Cardoso
               and Tomás Freitas Osório and Bernardo Leite},
       year={2024},
-      eprint={?},
+      eprint={2403.01897},
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }