Update README.md

README.md

@@ -18,7 +18,7 @@ nekomata-14b-pfn-qfin is fine-tuned on 370M tokens from multiple special dataset
 The fine-tuned were carried out at a 2048 context length.
 This model is released under [Tongyi Qianwen LICENSE AGREEMENT](https://github.com/QwenLM/Qwen/blob/e8e15962d897714944773cca57fa2e460a3655e8/Tongyi%20Qianwen%20LICENSE%20AGREEMENT).
 
-The research article will also be released later.
+The research article is available on [arXiv](https://arxiv.org/abs/2404.10555).
 
 # Benchmarking
 The benchmark score is obtained using [Japanese Language Model Financial Evaluation Harness](https://github.com/pfnet-research/japanese-lm-fin-harness)
@@ -94,9 +94,18 @@ This model is not designed for legal, tax, investment, financial, or other advic
 Therefore, before deploying any applications of nekomata-14b-pfn-qfin, developers should perform safety testing and tuning tailored to their specific applications of the model.
 
 ## How to cite
-TBD
+```
+@misc{hirano2024,
+      title={Construction of Domain-specified Japanese Large Language Model for Finance through Continual Pre-training}, 
+      author={Masanori Hirano and Kentaro Imajo},
+      year={2024},
+      eprint={2404.10555},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
 
-## Authors
+## Contributors
 Preferred Networks, Inc.
  - Masanori Hirano
  - Kentaro Imajo