Update README.md

README.md

@@ -6,7 +6,7 @@ license: apache-2.0
 
 # Mengzi-T5 model (Chinese)
 Pretrained model on 300G Chinese corpus. 
-[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
@@ -19,5 +19,12 @@ model = T5ForConditionalGeneration.from_pretrained("Langboat/mengzi-t5-base")
 ## 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}
+}
 ```