Xinyu Tang 汤昕宇

🔬 Research Interests🔬 研究方向

🔥 News🔥 最新动态

🎓 Education🎓 教育经历

• 2023.09 – Present Ph.D. in Computer Science Gaoling School of Artificial Intelligence, Renmin University of China Advisor: Prof. Wayne Xin Zhao
• 2023.09 – 至今 计算机科学博士 中国人民大学高瓴人工智能学院 导师：赵鑫 教授
• 2019.09 – 2023.06 B.Sc. in Computer Science Beijing Normal University, Beijing
• 2019.09 – 2023.06 计算机科学学士 北京师范大学

💻 Experience💻 实习经历

• 2025.01 – Present Ant Group Research Intern · LLM Post-training Beijing, China
• 2025.01 – 至今 蚂蚁集团 研究实习生 · 大模型后训练 中国北京

📝 Publications📝 学术论文

^* denotes equal contribution; my name is highlighted. A full, up-to-date list is on my Google Scholar and DBLP.

^* 表示同等贡献；我的名字已高亮标注。完整论文列表请见 Google Scholar 和 DBLP。

First / Co-first Author第一作者 / 共同第一作者

• 
  Tech Report

  Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning

  Xinyu Tang^*, Qianggang Cao^*, Yurou Liu, Yuliang Zhan, Xiaochong Lan, Yifan Li, Yuchen Yan, Han Peng, Zican Dong, Zhenduo Zhang, Tianshu Wang, Xinyu Kong, Zujie Wen, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou

  arXiv WeChat Zhihu 📕 RED X
• 
  ACL 2026CCF-A

  Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards

  Xinyu Tang^*, Yuliang Zhan^*, Zhixun Li^*, Wayne Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou

  PDF ACL Anthology GitHub
• 
  ICLR 2026CCF-A

  Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward

  Xinyu Tang^*, Zhenduo Zhang^*, Yurou Liu^*, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou

  PDF arXiv GitHub
• 
  ACL 2025CCF-A

  Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

  Xinyu Tang^*, Xiaolei Wang^*, Zhihao Lv, Yingqian Min, Wayne Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang

  PDF ACL Anthology GitHub
• 
  NAACL 2025CCF-B

  DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning

  Xinyu Tang^*, Xiaolei Wang^*, Wayne Xin Zhao, Ji-Rong Wen

  PDF ACL Anthology GitHub
• 
  AAAI 2025CCF-A

  Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers

  Xinyu Tang^*, Xiaolei Wang^*, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen

  PDF arXiv GitHub
• 
  arXiv 2026Survey

  Agent Systems with Harness Engineering

  Xinyu Tang^*, Han Peng^*, Guoxin Chen, Yuze Shi, Zitao Su, Peiyu Liu, Wayne Xin Zhao, Yawen Li, Zhe Xue

  PDF GitHub
• 
  arXiv 2025

  Enhancing Cross-task Transfer of Large Language Models via Fourier Activation Steering

  Xinyu Tang^*, Zhihao Lv, Yuliang Zhan, Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou

  PDF
• 
  AAAI 2026CCF-A

  L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention

  Yuliang Zhan^*, Xinyu Tang^*, Han Wan, Jian Li, Ji-Rong Wen, Hao Sun

  PDF arXiv GitHub
• 
  ICLR 2025CCF-A

  Investigating the Pre-Training Dynamics of In-Context Learning: Task Recognition vs. Task Learning

  Xiaolei Wang^*, Xinyu Tang^*, Wayne Xin Zhao, Ji-Rong Wen

  PDF GitHub
• 
  EMNLP 2023CCF-B

  Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models

  Xiaolei Wang^*, Xinyu Tang^*, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

  PDF ACL Anthology GitHub
• 
  arXiv 2026

  GraphPO: Graph-based Policy Optimization for Reasoning Models

  Yuliang Zhan^*, Xinyu Tang^*, Jian Li, Dandan Zheng, Weilong Chai, Jingdong Chen, Jun Zhou, Ge Wu, Wenyue Tang, Hao Sun

  PDF arXiv