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@@ -21,7 +21,7 @@ This is a ReactionT5 pre-trained to predict yields of reactions. You can use the
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/sagawatatsuya/ReactionT5v2
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- - **Paper:** https://arxiv.org/abs/2311.06708
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  - **Demo:** https://huggingface.co/spaces/sagawa/ReactionT5_task_yield
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  ## Uses
@@ -126,14 +126,16 @@ python train.py \
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  ## Citation
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- arxiv link: https://arxiv.org/abs/2311.06708
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  ```
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- @misc{sagawa2023reactiont5,
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- title={ReactionT5: a large-scale pre-trained model towards application of limited reaction data},
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- author={Tatsuya Sagawa and Ryosuke Kojima},
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- year={2023},
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- eprint={2311.06708},
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- archivePrefix={arXiv},
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- primaryClass={physics.chem-ph}
 
 
 
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  }
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  ```
 
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/sagawatatsuya/ReactionT5v2
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+ - **Paper:** https://jcheminf.biomedcentral.com/articles/10.1186/s13321-025-01075-4
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  - **Demo:** https://huggingface.co/spaces/sagawa/ReactionT5_task_yield
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  ## Uses
 
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  ## Citation
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  <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
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  ```
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+ @article{Sagawa2025,
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+ title = {ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data},
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+ author = {Sagawa, Tatsuya and Kojima, Ryosuke},
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+ journal = {Journal of Cheminformatics},
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+ year = {2025},
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+ volume = {17},
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+ number = {1},
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+ pages = {126},
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+ doi = {10.1186/s13321-025-01075-4},
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+ url = {https://doi.org/10.1186/s13321-025-01075-4}
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  }
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  ```