Update README.md

README.md

@@ -26,9 +26,11 @@ model = T5ForConditionalGeneration.from_pretrained("unicamp-dl/ptt5-v2-small")
 ## Citation
 If you use our models, please cite:
 
-    @article{ptt5_2020,
-      title={PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data},
-      author={Carmo, Diedre and Piau, Marcos and Campiotti, Israel and Nogueira, Rodrigo and Lotufo, Roberto},
-      journal={arXiv preprint arXiv:2008.09144},
-      year={2020}
-    }
+  @article{piau2024ptt5v2,
+        title={ptt5-v2: A Closer Look at Continued Pretraining of T5 Models for the Portuguese Language}, 
+        author={Marcos Piau and Roberto Lotufo and Rodrigo Nogueira},
+        year={2024},
+        eprint={2406.10806},
+        archivePrefix={arXiv},
+        primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
+  }