update citation

README.md

@@ -315,6 +315,32 @@
 问题8：Instruct模型的v1（原版）和v2有什么区别？
 ```
 
+## 引用
+
+如果您使用了本项目的相关资源，请参考引用本项目的技术报告：https://arxiv.org/abs/2304.08177
+
+```
+@article{chinese-llama-alpaca,
+    title={Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca},
+    author={Cui, Yiming and Yang, Ziqing and Yao, Xin},
+    journal={arXiv preprint arXiv:2304.08177},
+    url={https://arxiv.org/abs/2304.08177},
+    year={2023}
+}
+```
+
+针对是否扩充词表的分析，可参考引用：https://arxiv.org/abs/2403.01851
+
+```
+@article{chinese-mixtral,
+      title={Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral}, 
+      author={Cui, Yiming and Yao, Xin},
+      journal={arXiv preprint arXiv:2403.01851},
+      url={https://arxiv.org/abs/2403.01851},
+      year={2024}
+}
+```
+
 ## 免责声明
 
 本项目基于由Meta发布的Llama-3模型进行开发，使用过程中请严格遵守Llama-3的[开源许可协议](https://github.com/meta-llama/llama3/blob/main/LICENSE)。如果涉及使用第三方代码，请务必遵从相关的开源许可协议。模型生成的内容可能会因为计算方法、随机因素以及量化精度损失等影响其准确性，因此，本项目不对模型输出的准确性提供任何保证，也不会对任何因使用相关资源和输出结果产生的损失承担责任。如果将本项目的相关模型用于商业用途，开发者应遵守当地的法律法规，确保模型输出内容的合规性，本项目不对任何由此衍生的产品或服务承担责任。

README_EN.md

@@ -314,6 +314,32 @@ Question 7: Why does the instruction model reply saying it is ChatGPT?
 Question 8: What are the differences between v1 and v2 of the Instruct model?
 ```
 
+## Citation
+
+Please consider cite our work if you use the resources in this project.
+
+```
+@article{chinese-llama-alpaca,
+    title={Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca},
+    author={Cui, Yiming and Yang, Ziqing and Yao, Xin},
+    journal={arXiv preprint arXiv:2304.08177},
+    url={https://arxiv.org/abs/2304.08177},
+    year={2023}
+}
+```
+
+For analysis of vocabulary extension, please consider cite following paper.
+
+```
+@article{chinese-mixtral,
+      title={Rethinking LLM Language Adaptation: A Case Study on Chinese Mixtral}, 
+      author={Cui, Yiming and Yao, Xin},
+      journal={arXiv preprint arXiv:2403.01851},
+      url={https://arxiv.org/abs/2403.01851},
+      year={2024}
+}
+```
+
 ## Disclaimer
 
 This project is developed based on Meta's Llama-3 model. Please strictly adhere to the Llama-3 [open-source license agreement](https://github.com/meta-llama/llama3/blob/main/LICENSE) during use. If using third-party code, comply with the relevant open-source licenses. The accuracy of the model-generated content may be affected by computational methods, random factors, and loss of quantization precision, hence, no guarantees are provided regarding the accuracy of model outputs, nor will any liability be accepted for losses resulting from the use of related resources and outputs. If using the models for commercial purposes, developers must comply with local laws and regulations to ensure the legality of the model outputs. No responsibility will be taken for any products or services derived from this project.