Update README.md

README.md

@@ -48,8 +48,9 @@ model-index:
 # GreekT5 (mt5-small-greeksum)
 
 A Greek news summarization model trained on [GreekSum](https://github.com/iakovosevdaimon/GreekSUM).  
-This model is part of a series of models trained as part of our research [arxiv_paper_title](arxiv_link).  
-The proposed models were trained and evaluated on the same dataset against [GreekBART](https://arxiv.org/abs/2304.00869).  
+This model is part of a series of models trained as part of our research paper: 
+[Giarelis, N., Mastrokostas, C., & Karacapilidis, N. (2023). GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization.](https://arxiv.org/abs/2311.07767)
+The proposed models were trained and evaluated on the same dataset against [GreekBART](https://arxiv.org/abs/2304.00869).
 For more information see the evaluation section below.
 
 <img src="" width="600"/>
@@ -118,8 +119,15 @@ [email protected]
 ```
 ## Citation
 
-The model has been officially released with the article "GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization" (https://arxiv.org/).
+The model has been officially released with the article: [GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization](https://arxiv.org/).
 If you use the model, please cite the following:
 ```
-@arxiv-bibtex{}
+@misc{giarelis2023greekt5,
+      title={GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization}, 
+      author={Nikolaos Giarelis and Charalampos Mastrokostas and Nikos Karacapilidis},
+      year={2023},
+      eprint={2311.07767},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```