Update README.md

README.md

@@ -44,7 +44,7 @@ thumbnail: https://gsarti.com/publication/it5/featured.png
 ---
 # mT5 Base for Question Answering ⁉️ 🇮🇹
 
-This repository contains the checkpoint for the [mT5 Base](https://huggingface.co/google/mt5-base) model fine-tuned on extractive question answering on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io). 
+This repository contains the checkpoint for the [mT5 Base](https://huggingface.co/google/mt5-base) model fine-tuned on extractive question answering on the [SQuAD-IT corpus](https://huggingface.co/datasets/squad_it) as part of the experiments of the paper [IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation](https://arxiv.org/abs/2203.03759) by [Gabriele Sarti](https://gsarti.com) and [Malvina Nissim](https://malvinanissim.github.io). 
 
 A comprehensive overview of other released materials is provided in the [gsarti/it5](https://github.com/gsarti/it5) repository. Refer to the paper for additional details concerning the reported scores and the evaluation approach.
 
@@ -73,10 +73,11 @@ If you use this model in your research, please cite our work as:
 
 ```bibtex
 @article{sarti-nissim-2022-it5,
-    title={IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
+    title={{IT5}: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation},
     author={Sarti, Gabriele and Nissim, Malvina},
-    journal={ArXiv preprint TBD},
-    url={TBD},
-    year={2022}
+    journal={ArXiv preprint 2203.03759},
+    url={https://arxiv.org/abs/2203.03759},
+    year={2022},
+	month={mar}
 }
 ```