Hi!

I am currently 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. Now I am interning in the General Model Department at MiniMax.

Find me on Google Scholar, and Github!

Email: keji@link.cuhk.edu.cn

My current research interests lie in large language models and medical NLP. Currently, I am focused on Large Language Models, Agents, and Mathematical Reasoning.

• 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, et al.
  Preprint, 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, 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, Bin Dai
  ICLR 2025

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

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

• fmLRE: a low-resource relation extraction model based on feature mapping similarity calculation
  Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke
  AAAI 2023

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

• 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%)

• 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

• HuatuoGPT-II: An Expert-Level Medical Large Language Model
• DiagnosisGPT: An Interpretable Medical Diagnostic Large Language Model

• AIMO2 Gold Medalist (HUAWEI-CUHKSZ)

• 2025.02 - now, Teaching Assistant of Natural Language Processing, The Chinese University of Hongkong, Shenzhen.
• 2024.09 - 2025.01, Teaching Assistant of Large Language Models, The Chinese University of Hongkong, Shenzhen.

• 2025.06 - now, Long-Horizon Reasoning and Agent RL, MiniMax.

• 2024.11 - 2025.5, Mathematical Reasoning and Self-Improvement, Tencent AI Lab.

• 2024.08 - 2024.11, Video Generation, U of T and HKUST.

• 2024.01 - now, LLM for Medical, The Chinese University of Hongkong, Shenzhen.

• 2022.01 - 2023.01, Prompt Learning, Xiaoice.

• 2020.10 - now, Few-shot Learning and Continual Learning, Southeast University.