Update README.md

README.md

@@ -10,7 +10,7 @@ tags:
 
 <p align="center">
   <a href="https://github.com/TIGER-AI-Lab/One-Shot-CFT" target="_blank">💻 Code</a> |
-  <a href="https://arxiv.org/abs/" target="_blank">📄 Paper</a> |
+  <a href="https://arxiv.org/pdf/2506.03295" target="_blank">📄 Paper</a> |
   <a href="https://huggingface.co/datasets/TIGER-Lab/One-Shot-CFT-Data" target="_blank">📊 Dataset</a> |
   <a href="https://huggingface.co/collections/TIGER-Lab/one-shot-cft-683fbb4d2bcf698dbea8fb21" target="_blank">🤗 Model</a> |
   <a href="https://tiger-ai-lab.github.io/One-Shot-CFT/" target="_blank">🌐 Project Page</a>
@@ -53,10 +53,10 @@ Across both domains, CFT with a single problem significantly outperforms standar
 If you find our work helpful, please cite it as:
 
 ```bibtex
-@article{wang2025critique,
-  title={Critique fine-tuning: Learning to critique is more effective than learning to imitate},
-  author={Wang, Yubo and Yue, Xiang and Chen, Wenhu},
-  journal={arXiv preprint arXiv:2501.17703},
+@article{wang2025unleashing,
+  title={Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem},
+  author={Wang, Yubo and Nie, Ping and Zou, Kai and Wu, Lijun and Chen, Wenhu},
+  journal={arXiv preprint arXiv:2506.03295},
   year={2025}
 }
 ```