Upload README.md

README.md

@@ -40,7 +40,7 @@ We are excited to share the release schedule for our latest models:
 ![logo](./logo.png)
 
 This repository provides large language models developed by [TokyoTech-LLM](https://tokyotech-llm.github.io/).
-Read our [blog post](https://zenn.dev/tokyotech_lm/articles/d6cb3a8fdfc907) or our [paper](https://www.anlp.jp/proceedings/annual_meeting/2024/pdf_dir/A8-5.pdf)
+Read our [blog post](https://zenn.dev/tokyotech_lm/articles/d6cb3a8fdfc907) or our [paper](https://arxiv.org/abs/2404.17790)
 
 ## Model Details
 
@@ -224,7 +224,7 @@ The following datasets were used for continual pre-training.
 
 - [Japanese Wikipedia](https://dumps.wikimedia.org/other/cirrussearch)
 - [RefinedWeb](https://huggingface.co/datasets/tiiuae/falcon-refinedweb)
-- Swallow Corpus
+- [Swallow Corpus](https://arxiv.org/abs/2404.17733)
 - [The Pile](https://huggingface.co/datasets/EleutherAI/pile)
 
 
@@ -265,3 +265,15 @@ Here are the team members:
   - [Rio Yokota](https://twitter.com/rioyokota)
   - [Kazuki Fujii](https://twitter.com/okoge_kaz)
   - [Taishi Nakamura](https://twitter.com/Setuna7777_2)
+
+## How to cite
+```
+@misc{fujii2024continual,
+      title={Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities}, 
+      author={Kazuki Fujii and Taishi Nakamura and Mengsay Loem and Hiroki Iida and Masanari Ohi and Kakeru Hattori and Hirai Shota and Sakae Mizuki and Rio Yokota and Naoaki Okazaki},
+      year={2024},
+      eprint={2404.17790},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```