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Jujie He
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2020 – today
- 2025
[i7]Jujie He, Jiacai Liu, Chris Yuhao Liu, Rui Yan, Chaojie Wang, Peng Cheng, Xiaoyu Zhang, Fuxiang Zhang, Jiacheng Xu, Wei Shen, Siyuan Li, Liang Zeng, Tianwen Wei, Cheng Cheng, Bo An, Yang Liu, Yahui Zhou:
Skywork Open Reasoner 1 Technical Report. CoRR abs/2505.22312 (2025)
[i6]Liang Zeng, Yongcong Li, Yuzhen Xiao, Changshi Li, Chris Yuhao Liu, Rui Yan, Tianwen Wei, Jujie He, Xuchen Song, Yang Liu, Yahui Zhou:
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs. CoRR abs/2506.19290 (2025)
[i5]Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, Jujie He, Jiacai Liu, Chaojie Wang, Rui Yan, Wei Shen, Fuxiang Zhang, Jiacheng Xu, Yang Liu, Yahui Zhou:
Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy. CoRR abs/2507.01352 (2025)- 2024
[i4]Chaojie Wang, Yanchen Deng, Zhiyi Lv, Zeng Liang, Jujie He, Shuicheng Yan, Bo An:
Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. CoRR abs/2406.14283 (2024)
[i3]Liang Zeng, Liangjun Zhong, Liang Zhao, Tianwen Wei, Liu Yang, Jujie He, Cheng Cheng, Rui Hu, Yang Liu, Shuicheng Yan, Han Fang, Yahui Zhou:
Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models - The Story Goes On. CoRR abs/2407.08348 (2024)
[i2]Chris Yuhao Liu, Liang Zeng, Jiacai Liu, Rui Yan, Jujie He, Chaojie Wang, Shuicheng Yan, Yang Liu, Yahui Zhou:
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs. CoRR abs/2410.18451 (2024)- 2021
[c1]Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan:
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II. ICML 2021: 10905-10915- 2020
[i1]Xiangjun Wang, Junxiao Song, Penghui Qi, Peng Peng, Zhenkun Tang, Wei Zhang, Weimin Li, Xiongjun Pi, Jujie He, Chao Gao, Haitao Long, Quan Yuan:
SCC: an efficient deep reinforcement learning agent mastering the game of StarCraft II. CoRR abs/2012.13169 (2020)
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