Update README.md

README.md

@@ -11,7 +11,7 @@ widget:
 
 Pretrained model on 300G Chinese corpus. Masked language modeling(MLM), part-of-speech(POS) tagging and sentence order prediction(SOP) are used as training task.
 
-[Mengzi: A lightweight yet Powerful Chinese Pre-trained Language Model](www.example.com)
+[Mengzi: A lightweight yet Powerful Chinese Pre-trained Language Model](https://arxiv.org/abs/2110.06696)
 
 ## Usage
 
@@ -33,5 +33,12 @@ RoBERTa-wwm-ext scores are from CLUE baseline
 ## Citation
 If you find the technical report or resource is useful, please cite the following technical report in your paper.
 ```
-example
+@misc{zhang2021mengzi,
+      title={Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese}, 
+      author={Zhuosheng Zhang and Hanqing Zhang and Keming Chen and Yuhang Guo and Jingyun Hua and Yulong Wang and Ming Zhou},
+      year={2021},
+      eprint={2110.06696},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```