Jinhao Jiang (蒋锦昊)
Gaoling School of Artificial Intelligence, Renmin University of China(RUC)

Address: No.59 Zhongguancun Street, Haidian District Beijing, 100872, P.R. China
Email: jiangjinhao [at] ruc.edu.cn

About Me [GitHub] [Google Scholar]

I am a fourth-year Ph.D. student (expected to graduate in June 2026) supervised by Prof. Xin Zhao from GSAI, Renmin University of China. Prior to this, I obtained a bachelor's degree from the University of Electronic Science and Technology of China in July 2021. I have a broad interest in Natural Language Processing, Large Language Model, and Agent.

Research Interest

My research interest focuses on LLM and Agent, with an emphasis on fundamental capabilities (world knowledge & complex reasoning) of LLM and agent applications, specifically:

  • Enhancing internal reasoning capabilities: Through continue pre-training (CPT), supervised fine-tuning (SFT), and reinforcement learning (RL) training, expand the knowledge boundaries of LLMs and enhance the inherent general reasoning abilities of LLMs (such as encyclopedic knowledge, mathematics, and code).

  • Enhancing the ability to call external tools: Improve the ability of LLMs to call external tools (such as code, calculators, and search engines).

  • Agent applications in vertical fields: Enhance the application of LLM-based agent in vertical scenarios, such as complex structured data (such as knowledge graphs, databases, Excel spreadsheets, and tables), general retrieval scenarios (such as AI Searcher, Deep Research), etc.

I am currently seeking job opportunities in both academic and industry. I am expected to graduate in July 2026. If you are interested in me, please do not hesitate to contact me via Email.

News


Experience


Selected Publications

(* indicates equal contribution, † indicates corresponding author)

Here, I've listed my work as a (co-) first author. For the complete list of my publications, please visit my Google Scholar profile.

  • Enhancing LLM Reasoning with Reward-guided Tree Search

    Jinhao Jiang*, Zhipeng Chen*, Yingqian Min*, Jie Chen, Xiaoxue Cheng, Jiapeng Wang, Yiru Tang, Haoxiang Sun, Jia Deng, Wayne Xin Zhao†, Zheng Liu, Dong Yan, Jian Xie, Zhongyuan Wang, Ji-Rong Wen

    Technical Report, 2024


Grants

  • 2021 Outstanding Graduates of Sichuan Province (winning ratio 3.7%), Education Department of Sichuan.
  • 2020 China National Scholarship (top 1.5%), Ministry of Education of the People's Republic of China.
  • 2019 China National Scholarship (top 1.5%), Ministry of Education of the People's Republic of China.

    • Professional Service

    • Journal: TALLIP, Computational Intelligence, Information Retrieval Journa
    • Conference: ICLR, NIPS, ACL, EMNLP