Update README.md

README.md

@@ -20,7 +20,7 @@ This model is a fine-tuned version of [DeBERTa](https://huggingface.co/microsoft
 
 ## Model description
 
-This model is trained to serve the RaTEScore metric, if you are interested in our pipeline, please refer to our [paper](https://angelakeke.github.io/RaTEScore/) and [Github](https://github.com/Angelakeke/RaTEScore).
+This model is trained to serve the RaTEScore metric, if you are interested in our pipeline, please refer to our [paper](https://aclanthology.org/2024.emnlp-main.836.pdf) and [Github](https://github.com/Angelakeke/RaTEScore).
 
 This model also can be used to extract  **Abnormality, Non-Abnormality, Anatomy, Disease, Non-Disease**
 in medical radiology reports.
@@ -130,10 +130,11 @@ If you have any questions, please feel free to contact [email protected].
 
 ## Citation
 ```bibtex
-@article{zhao2024ratescore,
+@inproceedings{zhao2024ratescore,
   title={RaTEScore: A Metric for Radiology Report Generation},
   author={Zhao, Weike and Wu, Chaoyi and Zhang, Xiaoman and Zhang, Ya and Wang, Yanfeng and Xie, Weidi},
-  journal={arXiv preprint arXiv:2406.16845},
+  booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
+  pages={15004--15019},
   year={2024}
 }
 ```