Update README.md

README.md

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 # CXRMate-RRG4: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation
 
-This is an evolution of https://huggingface.co/aehrc/cxrmate developed for the Radiology Report Generation task of BioNLP @ ACL 2024.
+This is an evolution of https://huggingface.co/aehrc/cxrmate developed for the [Radiology Report Generation](https://stanford-aimi.github.io/RRG24/) task of [BioNLP @ ACL 2024](https://aclweb.org/aclwiki/BioNLP_Workshop).
 
 For this, we proposed EAST: Entropy-Augmented Self-critical sequence Training (EAST):
- - EAST modifies Self-Critical Sequence Training (SCST) by adding entropy regularisation. 
+ - EAST modifies [Self-Critical Sequence Training (SCST)](https://openaccess.thecvf.com/content_cvpr_2017/papers/Rennie_Self-Critical_Sequence_Training_CVPR_2017_paper.pdf) by adding entropy regularisation. 
  - Helps maintain a higher entropy in the token distribution.
  - Preventing overfitting to common phrases and ensuring a broader exploration of the vocabulary during training.
  - This was essential to handle the diversity of the radiology reports in the RRG24 datasets.