About me

Hi! I am Ke Ji (冀轲), a PhD student at School of Data Science, The Chinese University of Hong Kong, Shenzhen, advised by Prof. Benyou Wang. Prior to CUHK(SZ), I earned my master’s from Southeast University, supervised by Prof. Peng Wang, and my bachelor’s from Zhengzhou University. Currently, I am focused on Large Language Models, Agents, and Mathematical Reasoning.

Find me on Google Scholar, and Github!

Email: keji@link.cuhk.edu.cn

📝Publications

• The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
  Ke Ji, Jiahao Xu, Tian Liang, Qiuzhi Liu, Zhiwei He, Xingyu Chen, et al.
  Neurips 2025

• Unlocking LLMs’ Self-Improvement Capacity with Autonomous Learning for Knowledge Generalization
  Ke Ji, Junying Chen, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang
  ACL 2025 Findings

• Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning
  Ke Ji, Yixin Lian, Linxu Li, Jingsheng Gao, Weiyuan Li, Bin Dai
  ACL 2025 Findings

• Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
  Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
  ACL 2023

• Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
  Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, et al.
  IJCAI 2024

• SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
  Jingsheng Gao, Linxu Li, Ke Ji, Weiyuan Li, Yixin Lian, Yuzhuo Fu, et al.
  ICLR 2025

• Huatuogpt-ii, one-stage training for medical adaption of llms
  Junying Chen, Xidong Wang, Ke Ji, Anningzhe Gao, et al.
  COLM 2024

• QFFT, Question-Free Fine-Tuning for Adaptive Reasoning
  Wanlong Liu, Junxiao Xu, Fei Yu, Yukang Lin, Ke Ji, Wenyu Chen, et al.
  Neurips 2025 (spotlight)

• WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
  Junteng Liu, Yunji Li, Chi Zhang, Jingyang Li, Aili Chen, Ke Ji, et al.
  Preprint

• HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
  Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang, Wanlong Liu, Rongsheng Wang, et al.
  ACL 2025 Findings

• CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
  Junying Chen*, Chi Gui*, Anningzhe Gao, Ke Ji, et al.
  ACL 2025 Findings

📖Educations

• 2024.09 - now, PhD, The Chinese University of Hong Kong, Shenzhen.
• 2021.09 - 2024.07, Master, Southeast University, Nanjing. (National Scholarship, Top 1%)
• 2017.09 - 2021.06, Bachelor, Zhengzhou University, Zhengzhou. (GPA Rank: Top 5%)

🎖Honors and Awards

• AIMO2 Gold Medalist in 2025 (HUAWEI-CUHKSZ)
• Southeast University Outstanding Graduate in 2024
• National Scholarship in 2023
• Excellent Graduate Cadre and Pacemaker to Merit Student of Southeast University in 2023
• Zhengzhou University Outstanding Graduate in 2021

💁Teaching Experience

• 2025.02 - 2025.07, TA of Natural Language Processing, The Chinese University of Hongkong, Shenzhen.
• 2024.09 - 2025.01, TA of Large Language Models, The Chinese University of Hongkong, Shenzhen.

💻Internships

• 2025.06 - now, Interleaved Agent, MiniMax.
• 2024.10 - 2025.5, Self-Improvement and Mathematical Reasoning, Tencent AI Lab.
• 2022.01 - 2023.01, Prompt-based Learning, Xiaoice.