Update README.md

README.md

@@ -53,8 +53,6 @@ This model is part of a series of models trained as part of our research paper:
 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"/>
-
 ## Training dataset
 
 The training dataset of `GreekT5-mt5-small-greeksum` is [GreekSum](https://github.com/iakovosevdaimon/GreekSUM/), which is the first news summarization dataset for the Greek Language.  
@@ -121,12 +119,12 @@ karacap@upatras.gr
 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:
 ```
-@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}
+@inproceedings{giarelis2024greekt5,
+  title={GreekT5: Sequence-to-Sequence Models for Greek News Summarization},
+  author={Giarelis, Nikolaos and Mastrokostas, Charalampos and Karacapilidis, Nikos},
+  booktitle={IFIP International Conference on Artificial Intelligence Applications and Innovations},
+  pages={60--73},
+  year={2024},
+  organization={Springer}
 }
 ```