Update README.md

README.md

@@ -2,8 +2,6 @@
 language: ja
 thumbnail: https://github.com/rinnakk/japanese-pretrained-models/blob/master/rinna.png
 tags:
-- ja
-- japanese
 - gpt-neox
 - text-generation
 - lm
@@ -63,11 +61,11 @@ Here are a few samples generated with and without the toy prefix weights, respec
 After version 5.1, [NVIDIA FasterTransformer](https://github.com/NVIDIA/FasterTransformer) now supports both inference for GPT-NeoX and a variety of soft prompts (including prefix-tuning). The released pretrained model and prefix weights in this repo have been verified to work with FasterTransformer 5.1.
 
 # How to cite
-~~~
+```bibtex
 @misc{rinna-japanese-gpt-neox-small,
     title = {rinna/japanese-gpt-neox-small},
-    author = {Zhao, Tianyu and Sawada, Kei}
-    url = {https://huggingface.co/rinna/japanese-gpt-neox-small},
+    author = {Zhao, Tianyu and Sawada, Kei},
+    url = {https://huggingface.co/rinna/japanese-gpt-neox-small}
 }
 
 @inproceedings{sawada2024release,
@@ -76,9 +74,11 @@ After version 5.1, [NVIDIA FasterTransformer](https://github.com/NVIDIA/FasterTr
     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},
+    pages = {13898--13905},
+    url = {https://aclanthology.org/2024.lrec-main.1213},
+    note = {\url{https://arxiv.org/abs/2404.01657}}
 }
-~~~
+```
 
 # Licenese
 [The MIT license](https://opensource.org/licenses/MIT)