Update README.md

README.md

@@ -79,4 +79,20 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
 |                 | Diversity | Length | Complexity | Factuality |
 |-----------------|-----------|--------|------------|------------|
 | Self-Instruct   | 9.6       | 15.8   | 0.32       | 5.0        |
-| Qwen2-7B-Instruct-Response-Exp | 17.2      | 26.3   | 4.97       | 4.9        |
+| Qwen2-7B-Instruct-Response-Exp | 17.2      | 26.3   | 4.97       | 4.9        |
+
+## 📜 Citation
+
+If you find our work helpful, please cite it!
+
+```
+@misc{data-augmentation-family,
+      title={Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud}, 
+      author={Yuanhao Yue and Chengyu Wang and Jun Huang and Peng Wang},
+      year={2024},
+      eprint={2412.04871},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2412.04871}, 
+}
+```