Update README.md

README.md

@@ -13,7 +13,7 @@ pipeline_tag: text-generation
 
 # Pretrain-Qwen-200M
 
-[paper]() | [code](https://github.com/thu-coai/MiniPLM)
+[paper](https://arxiv.org/abs/2410.17215) | [code](https://github.com/thu-coai/MiniPLM)
 
 **Pretrain-Qwen-200M** is a 200M model with QWen achitecture conventionally pre-trained from scratch on [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted) for 50B tokens.
 
@@ -34,4 +34,11 @@ MiniPLM models achieves better performance given the same computation and scales
 
 ## Citation
 
-TODO
+```bibtext
+@article{miniplm,
+    title={MiniPLM: Knowledge Distillation for Pre-Training Language Models}, 
+    author={Yuxian Gu and Hao Zhou and Fandong Meng and Jie Zhou and Minlie Huang},
+    journal={arXiv preprint arXiv:2410.17215},
+    year={2024}
+}
+```