Update README.md

README.md

@@ -6,7 +6,8 @@ license: apache-2.0
 # Mengzi-BERT base fin model (Chinese)
 Continue trained mengzi-bert-base with 20G financial news and research reports. 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: Towards Lightweight yet Ingenious Pre-trained Models for Chinese](https://arxiv.org/abs/2110.06696)
+
 ## Usage
 ```python
 from transformers import BertTokenizer, BertModel
@@ -17,5 +18,13 @@ model = BertModel.from_pretrained("Langboat/mengzi-bert-base-fin")
 ## 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}
+}
+
 ```