All datasets / JierunChen
JierunChen/Eureka-Distill
The declared licence (apache-2.0) is classified as permissive.
- Declared licence
- apache-2.0, from the tagEvidence: README.md at 7f3633b
- Licence files
LICENSE, detected asapache-2.0Evidence: LICENSE at 7f3633b- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- No
Tasks
Citation text from the card
@article{meng2025mm,
title={MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning},
author={Meng, Fanqing and Du, Lingxiao and Liu, Zongkai and Zhou, Zhixiang and Lu, Quanfeng and Fu, Daocheng and Shi, Botian and Wang, Wenhai and He, Junjun and Zhang, Kaipeng and others},
journal={arXiv preprint arXiv:2503.07365},
year={2025}
}
@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},
}
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dataset_licence({ "id": "JierunChen/Eureka-Distill" })
signal: "permissive"
stated_licence: "apache-2.0"
sources: 0