Update README.md
Browse files
README.md
CHANGED
@@ -64,3 +64,19 @@ We evaluated the data augmentation effect of our model on the Elementary Math an
|
|
64 |
| Qwen2-7B-Instruct | 71.40% | 28.85% |
|
65 |
| + Qwen2-1.5B-Instruct-Exp | 73.90% | 35.41% |
|
66 |
| + Qwen2-7B-Instruct-Exp | 72.53% | 32.92% |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
64 |
| Qwen2-7B-Instruct | 71.40% | 28.85% |
|
65 |
| + Qwen2-1.5B-Instruct-Exp | 73.90% | 35.41% |
|
66 |
| + Qwen2-7B-Instruct-Exp | 72.53% | 32.92% |
|
67 |
+
|
68 |
+
## 📜 Citation
|
69 |
+
|
70 |
+
If you find our work helpful, please cite it!
|
71 |
+
|
72 |
+
```
|
73 |
+
@misc{data-augmentation-family,
|
74 |
+
title={Building a Family of Data Augmentation Models for Low-cost LLM Fine-tuning on the Cloud},
|
75 |
+
author={Yuanhao Yue and Chengyu Wang and Jun Huang and Peng Wang},
|
76 |
+
year={2024},
|
77 |
+
eprint={2412.04871},
|
78 |
+
archivePrefix={arXiv},
|
79 |
+
primaryClass={cs.CL},
|
80 |
+
url={https://arxiv.org/abs/2412.04871},
|
81 |
+
}
|
82 |
+
```
|