Update README.md
Browse files
README.md
CHANGED
@@ -36,4 +36,20 @@ We also apply the same difficulty estimation procedure to the following datasets
|
|
36 |
|
37 |
## 📬 Contact
|
38 |
|
39 |
-
For questions or feedback, feel free to reach out to [**Taiwei Shi**](https://maksimstw.github.io/) at [[email protected]](mailto:[email protected]).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
36 |
|
37 |
## 📬 Contact
|
38 |
|
39 |
+
For questions or feedback, feel free to reach out to [**Taiwei Shi**](https://maksimstw.github.io/) at [[email protected]](mailto:[email protected]).
|
40 |
+
|
41 |
+
## 📚 Citations
|
42 |
+
|
43 |
+
If you find our dataset useful, please cite [Efficient Reinforcement Finetuning via Adaptive Curriculum Learning](https://huggingface.co/papers/2504.05520):
|
44 |
+
|
45 |
+
```bibtex
|
46 |
+
@misc{shi2025efficientreinforcementfinetuningadaptive,
|
47 |
+
title={Efficient Reinforcement Finetuning via Adaptive Curriculum Learning},
|
48 |
+
author={Taiwei Shi and Yiyang Wu and Linxin Song and Tianyi Zhou and Jieyu Zhao},
|
49 |
+
year={2025},
|
50 |
+
eprint={2504.05520},
|
51 |
+
archivePrefix={arXiv},
|
52 |
+
primaryClass={cs.LG},
|
53 |
+
url={https://arxiv.org/abs/2504.05520},
|
54 |
+
}
|
55 |
+
```
|