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Jiang Yuhua

Hi there! I am Yuhua Jiang, a PhD student in the Department of Automation, Tsinghua University, advised by Prof. Qianchuan Zhao. I am also fortunate to collaborate with Prof. Chongjie Zhang.

My research interests lie in reinforcement learning (RL), with a focus on exploration, self-play, LLM reasoning, and agentic RL. I am currently a research intern at ByteDance Seed, working on LLM reasoning and agentic RL with Yufeng Yuan, Yu Yue, and Lin Yan.

Selected Publications

  1. Tech Report
    Seed2.0: A Large-Scale Production-Ready Foundation Model Series
    ByteDance Seed
    2026
    Website
  2. Tech Report
    Seed1.8 Model Card: Towards Generalized Real-World Agency
    ByteDance Seed
    2026
    arXiv PDF
  3. ICLR 2026
    Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language Models
    Yuhua Jiang, J. Huang, Y. Yuan, X. Mao, Y. Yue, Qianchuan Zhao, and L. Yan
    In ICLR 2026
    arXiv PDF Code
  4. MATH-AI’25
    PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
    Yuhua Jiang, Y. Xiong, Y. Yuan, C. Xin, W. Xu, Y. Yue, Qianchuan Zhao, and L. Yan
    In NeurIPS 2025 MATH-AI Workshop 2025
    arXiv PDF Code Website
  5. Tech Report
    Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning
    ByteDance Seed
    2025
    arXiv PDF
  6. ICLR 2025
    Episodic Novelty Through Temporal Distance
    Yuhua Jiang*, Qihan Liu*, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo XU, Chongjie Zhang, and Qianchuan Zhao
    In ICLR 2025
    Oral @ IMOL@NeurIPS 2024 (3/47, Top 7%)
    arXiv PDF Code
  7. AAAI 2024
    Learning Diverse Risk Preferences in Population-based Self-play
    Yuhua Jiang*, Qihan Liu*, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, and Qianchuan Zhao
    In AAAI 2024
    Oral Presentation (Top 3%)
    PDF Code Website