Update README.md

README.md

@@ -75,18 +75,14 @@ Compared to Meditron3-Qwen2.5-7B and Llama3.1-Swallow-8B-Instruct-v0.3, JPharmat
 **BibTeX:**
 
 ```
-@misc{sukeda_japanese_2025,
-  title     = {A {Japanese} {Language} {Model} and {Three} {New} {Evaluation} {Benchmarks} for {Pharmaceutical} {NLP}},
-  url       = {http://arxiv.org/abs/2505.16661},
-  doi       = {10.48550/arXiv.2505.16661},
-  abstract  = {We present a Japanese domain-specific language model for the pharmaceutical field, developed through continual pretraining on 2 billion Japanese pharmaceutical tokens and 8 billion English biomedical tokens. To enable rigorous evaluation, we introduce three new benchmarks: YakugakuQA, based on national pharmacist licensing exams; NayoseQA, which tests cross-lingual synonym and terminology normalization; and SogoCheck, a novel task designed to assess consistency reasoning between paired statements. We evaluate our model against both open-source medical LLMs and commercial models, including GPT-4o. Results show that our domain-specific model outperforms existing open models and achieves competitive performance with commercial ones, particularly on terminology-heavy and knowledge-based tasks. Interestingly, even GPT-4o performs poorly on SogoCheck, suggesting that cross-sentence consistency reasoning remains an open challenge. Our benchmark suite offers a broader diagnostic lens for pharmaceutical NLP, covering factual recall, lexical variation, and logical consistency. This work demonstrates the feasibility of building practical, secure, and cost-effective language models for Japanese domain-specific applications, and provides reusable evaluation resources for future research in pharmaceutical and healthcare NLP. Our model, codes, and datasets are released at https://github.com/EQUES-Inc/pharma-LLM-eval.},
-  urldate   = {2025-05-30},
-  publisher = {arXiv},
-  author    = {Sukeda, Issey and Fujii, Takuro and Buma, Kosei and Sasaki, Shunsuke and Ono, Shinnosuke},
-  month     = may,
-  year      = {2025},
-  note      = {arXiv:2505.16661 [cs]},
-  annote    = {Comment: 15 pages, 9 tables, 5 figures}
+@misc{ono2025japaneselanguagemodelnew,
+      title={A Japanese Language Model and Three New Evaluation Benchmarks for Pharmaceutical NLP}, 
+      author={Shinnosuke Ono and Issey Sukeda and Takuro Fujii and Kosei Buma and Shunsuke Sasaki},
+      year={2025},
+      eprint={2505.16661},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2505.16661}, 
 }
 
 ```