Update README.md

README.md

@@ -113,5 +113,23 @@ The model was trained on [Japanese CC-100](http://data.statmt.org/cc-100/ja.txt.
 # Tokenization
 The model uses a [sentencepiece](https://github.com/google/sentencepiece)-based tokenizer, the vocabulary was trained on the Japanese Wikipedia using the official sentencepiece training script.
 
+# How to cite
+~~~
+@misc{rinna-japanese-roberta-base, 
+    title = {rinna/japanese-roberta-base}, 
+    author = {Zhao, Tianyu and Sawada, Kei},
+    url = {https://huggingface.co/rinna/japanese-roberta-base}, 
+}
+
+@inproceedings{sawada2024release,
+    title = {Release of Pre-Trained Models for the {J}apanese Language},
+    author = {Sawada, Kei and Zhao, Tianyu and Shing, Makoto and Mitsui, Kentaro and Kaga, Akio and Hono, Yukiya and Wakatsuki, Toshiaki and Mitsuda, Koh},
+    booktitle = {Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
+    month = {5},
+    year = {2024},
+    url = {https://arxiv.org/abs/2404.01657},
+}
+~~~
+
 # Licenese
 [The MIT license](https://opensource.org/licenses/MIT)