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@@ -39,7 +39,7 @@ The JPharmatron-7B is continually pre-trained using 8.8B tokens from Japanese an
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/EQUES-Inc/pharma-LLM-eval
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- - **Paper [optional]:** [A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP](https://arxiv.org/abs/2505.16661)
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  ## Uses
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@@ -70,6 +70,8 @@ Compared to Meditron3-Qwen2.5-7B and Llama3.1-Swallow-8B-Instruct-v0.3, JPharmat
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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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  **BibTeX:**
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  ```
 
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  <!-- Provide the basic links for the model. -->
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  - **Repository:** https://github.com/EQUES-Inc/pharma-LLM-eval
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+ - **Paper [optional]:** [A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP](https://arxiv.org/abs/2505.16661) (IJCNLP-AACL 2025)
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  ## Uses
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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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+ **This paper has been accepted to IJCNLP-AACL 2025. We will update the bibtex info below soon.**
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  **BibTeX:**
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  ```