Update README.md

README.md

@@ -13,7 +13,7 @@ pipeline_tag: text-generation
 
 # MinPLM-QWen-200M
 
-[paper]() | [code](https://github.com/thu-coai/MiniPLM)
+[paper](https://arxiv.org/abs/2410.17215) | [code](https://github.com/thu-coai/MiniPLM)
 
 **MiniPLM-QWen-200M** is a 200M model with QWen achitecture pre-trained from scratch on [the Pile](https://huggingface.co/datasets/monology/pile-uncopyrighted) using the MiniPLM knowledge distillation framework with the [offcial QWen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) as the teacher model.
 
@@ -38,13 +38,10 @@ MiniPLM models achieves better performance given the same computation and scales
 ## Citation
 
 ```bibtex
-@misc{gu2024miniplmknowledgedistillationpretraining,
-      title={MiniPLM: Knowledge Distillation for Pre-Training Language Models}, 
-      author={Yuxian Gu and Hao Zhou and Fandong Meng and Jie Zhou and Minlie Huang},
-      year={2024},
-      eprint={2410.17215},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL},
-      url={https://arxiv.org/abs/2410.17215}, 
+@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}
 }
 ```