Update README.md

README.md

@@ -78,5 +78,18 @@ The training dataset PhoneLM used is comprised of a filtered mixture of open-sou
 | Gemma-2B | 71.4 | 65.2 | 78.4 | 91.4 | 69.9 | 72.3 | 42.0 | 70.09 |
 | Gemma 2-2B | 55.0 | 68.7 | 78.7 | 96.0 | 73.6 | 80.3 | 46.9 | 71.31 |
 
-## LICENSE
-* This repository is released under the [Apache-2.0](https://huggingface.co/mllmTeam/PhoneLM-1.5B/blob/main/LICENSE) License. 
+## License
+* This repository is released under the [Apache-2.0](https://huggingface.co/mllmTeam/PhoneLM-1.5B/blob/main/LICENSE) 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}, 
+}
+```