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README.md

@@ -48,7 +48,7 @@ dataset_info:
 
 # MMStar with difficulty level tags
 
-This dataset extends the 🤗 [MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) benchmark by introducing two additional tags: **passrate_for_qwen2.5_vl_7b** and **difficulty_level_for_qwen2.5_vl_7b**. Further details are available in our paper.
+This dataset extends the 🤗 [MMStar](https://huggingface.co/datasets/Lin-Chen/MMStar) benchmark by introducing two additional tags: **passrate_for_qwen2.5_vl_7b** and **difficulty_level_for_qwen2.5_vl_7b**. Further details are available in our paper [The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs](https://www.arxiv.org/pdf/2507.07562).
 
 
 
@@ -72,4 +72,14 @@ If you find this benchmark useful in your research, please consider citing this
   journal={arXiv preprint arXiv:2403.20330},
   year={2024}
 }
+
+@misc{chen2025synergydilemmalongcotsft,
+      title={The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs}, 
+      author={Jierun Chen and Tiezheng Yu and Haoli Bai and Lewei Yao and Jiannan Wu and Kaican Li and Fei Mi and Chaofan Tao and Lei Zhu and Manyi Zhang and Xiaohui Li and Lu Hou and Lifeng Shang and Qun Liu},
+      year={2025},
+      eprint={2507.07562},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2507.07562}, 
+}
 ```