Initial commit

README.md

@@ -14,7 +14,7 @@ widget:
 - text: "Texto de exemplo em português"
 inference: false
 ---
-# multilingual-MiniLM-L6-v2-multi-msmarco Reranker finetuned on Multi MS MARCO
+# multilingual-MiniLM-L6-v2-multi-msmarco Reranker finetuned on mMARCO
 ## Introduction
 multilingual-MiniLM-L6-v2-multi-msmarco is a multilingual miniLM-based model finetuned on a multilingual version of MS MARCO passage dataset. This dataset, named mMARCO, is formed by passages in 8 different languages, translated from English MS MARCO passages collection.
 Further information about the dataset or the translation method can be found on our [Cross-Lingual repository](https://github.com/unicamp-dl/cross-lingual-analysis).
@@ -28,3 +28,10 @@ model      = AutoModel.from_pretrained(model_name)
 
 ```
 # Citation
+If you use mt5-base-en-pt-msmarco, please cite:
+    @article{rosa2021cost,
+      title={A cost-benefit analysis of cross-lingual transfer methods},
+      author={Rosa, Guilherme Moraes and Bonifacio, Luiz Henrique and de Souza, Leandro Rodrigues and Lotufo, Roberto and Nogueira, Rodrigo},
+      journal={arXiv preprint arXiv:2105.06813},
+      year={2021}
+    }