Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -42,4 +42,20 @@ We also apply the same difficulty estimation procedure to the following datasets
|
|
| 42 |
|
| 43 |
## 📬 Contact
|
| 44 |
|
| 45 |
-
For questions or feedback, feel free to reach out to [**Taiwei Shi**](https://maksimstw.github.io/) at [[email protected]](mailto:[email protected]).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 42 |
|
| 43 |
## 📬 Contact
|
| 44 |
|
| 45 |
+
For questions or feedback, feel free to reach out to [**Taiwei Shi**](https://maksimstw.github.io/) at [[email protected]](mailto:[email protected]).
|
| 46 |
+
|
| 47 |
+
## 📚 Citations
|
| 48 |
+
|
| 49 |
+
If you find our dataset useful, please cite [Efficient Reinforcement Finetuning via Adaptive Curriculum Learning](https://huggingface.co/papers/2504.05520):
|
| 50 |
+
|
| 51 |
+
```bibtex
|
| 52 |
+
@misc{shi2025efficientreinforcementfinetuningadaptive,
|
| 53 |
+
title={Efficient Reinforcement Finetuning via Adaptive Curriculum Learning},
|
| 54 |
+
author={Taiwei Shi and Yiyang Wu and Linxin Song and Tianyi Zhou and Jieyu Zhao},
|
| 55 |
+
year={2025},
|
| 56 |
+
eprint={2504.05520},
|
| 57 |
+
archivePrefix={arXiv},
|
| 58 |
+
primaryClass={cs.LG},
|
| 59 |
+
url={https://arxiv.org/abs/2504.05520},
|
| 60 |
+
}
|
| 61 |
+
```
|