Update README.md

README.md

@@ -22,7 +22,7 @@ This is a ReactionT5 pre-trained to predict the products of reactions. You can u
 <!-- Provide the basic links for the model. -->
 
 - **Repository:** https://github.com/sagawatatsuya/ReactionT5v2
-- **Paper:** https://arxiv.org/abs/2311.06708
+- **Paper:** https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01075-4
 - **Demo:** https://huggingface.co/spaces/sagawa/ReactionT5_task_forward
 
 ## Uses
@@ -94,14 +94,16 @@ Performance comparison of Compound T5, ReactionT5, and other models in product p
 ## Citation
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-arxiv link: https://arxiv.org/abs/2311.06708
 ```
-@misc{sagawa2023reactiont5,  
-      title={ReactionT5: a large-scale pre-trained model towards application of limited reaction data}, 
-      author={Tatsuya Sagawa and Ryosuke Kojima},  
-      year={2023},  
-      eprint={2311.06708},  
-      archivePrefix={arXiv},  
-      primaryClass={physics.chem-ph}  
+@article{Sagawa2025,
+  title   = {ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data},
+  author  = {Sagawa, Tatsuya and Kojima, Ryosuke},
+  journal = {Journal of Cheminformatics},
+  year    = {2025},
+  volume  = {17},
+  number  = {1},
+  pages   = {126},
+  doi     = {10.1186/s13321-025-01075-4},
+  url     = {https://doi.org/10.1186/s13321-025-01075-4}
 }
 ```