Update README.md

README.md

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     <img src="https://img.shields.io/github/stars/leduckhai/MultiMed-ST?style=social" alt="Stars">
   </a>
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 <p align="center">
   <strong>📘 EMNLP 2025</strong>
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 <p align="center">
   <sub>*Equal contribution &nbsp;&nbsp;|&nbsp;&nbsp; **Equal supervision</sub>
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 ---
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 > ⭐ **If you find this work useful, please consider starring the repo and citing our paper!**
 
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 <details>
 <summary><b>🔹 m2m100_418M MT Fine-tuned Models (Click to expand) </b></summary>
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 | Source → Target | Model Link |
 |------------------|------------|
 | de → en | [m2m100_418M-finetuned-de-to-en](https://huggingface.co/leduckhai/MultiMed-ST/tree/main/m2m100_418M-finetuned-de-to-en) |
@@ -179,20 +183,34 @@ You can explore and download all fine-tuned models for **MultiMed-ST** directly
 | zh → en | [m2m100_418M-finetuned-zh-to-en](https://huggingface.co/leduckhai/MultiMed-ST/tree/main/m2m100_418M-finetuned-zh-to-en) |
 | zh → fr | [m2m100_418M-finetuned-zh-to-fr](https://huggingface.co/leduckhai/MultiMed-ST/tree/main/m2m100_418M-finetuned-zh-to-fr) |
 | zh → vi | [m2m100_418M-finetuned-zh-to-vi](https://huggingface.co/leduckhai/MultiMed-ST/tree/main/m2m100_418M-finetuned-zh-to-vi) |
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 </details>
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 ---
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 ## 👨‍💻 Core Developers
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 1. **Khai Le-Duc**  
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 University of Toronto, Canada 
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 📧 [[email protected]](mailto:[email protected])  
 🔗 [https://github.com/leduckhai](https://github.com/leduckhai)
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 2. **Tuyen Tran**: 📧 [[email protected]](mailto:[email protected]) 
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 Hanoi University of Science and Technology, Vietnam
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 3. **Nguyen Kim Hai Bui**: 📧 [[email protected]](mailto:[email protected])  
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 Eötvös Loránd University, Hungary 
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 ## 🧾 Citation
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 If you use our dataset or models, please cite:
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 📄 [arXiv:2504.03546](https://arxiv.org/abs/2504.03546)
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 ```bibtex
 @inproceedings{le2025multimedst,
   title={MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation},
@@ -200,4 +218,4 @@ If you use our dataset or models, please cite:
   booktitle={Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
   pages={11838--11963},
   year={2025}
-}
+}