Update README.md

README.md

@@ -70,5 +70,19 @@ The training dataset PhoneLM used is comprised of a filtered mixture of open-sou
 | Qwen 1.5-500M | 49.2 | 55.7 | 69.5 | 82.5 | 49.5 | 52.3 | 29.4 | 55.44 |
 | Cerebras-GPT-590M | 32.3 | 49.8 | 62.8 | 68.2 | 59.2 | 41.2 | 23.5 | 48.14 |
 
-## LICENSE
-* This repository is released under the [Apache-2.0](https://huggingface.co/mllmTeam/PhoneLM-0.5B/blob/main/README.md) License.
+## License
+* This repository is released under the [Apache-2.0](https://huggingface.co/mllmTeam/PhoneLM-0.5B/blob/main/README.md) License.
+
+
+## Citation
+```
+@misc{yi2024phonelmanefficientcapablesmall,
+      title={PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training}, 
+      author={Rongjie Yi and Xiang Li and Weikai Xie and Zhenyan Lu and Chenghua Wang and Ao Zhou and Shangguang Wang and Xiwen Zhang and Mengwei Xu},
+      year={2024},
+      eprint={2411.05046},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2411.05046}, 
+}
+```