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 at Tencent AI Lab under the supervision of Dr.Zhaopeng Tu and Dr.Dian Yu.

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 Self-Improvement, Efficiency and Lifelong Learning.

• Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification
  Ke Ji, Yixin Lian, Jingsheng Gao, Baoyuan Wang
  The 61st Annual Meeting of the Association for Computational Linguistics (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.
  International Joint Conference on Artificial Intelligence (IJCAI), 2023.

• LLMs Could Autonomously Learn Without External Supervision
  Ke Ji*, Junying Chen*, Anningzhe Gao, Wenya Xie, Xiang Wan, Benyou Wang
  Preprint, 2024.

• HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
  Junying Chen, Zhenyang Cai, Ke Ji, et al.
  Preprint, 2024.

• Huatuogpt-ii, one-stage training for medical adaption of llms
  Junying Chen, Xidong Wang, Ke Ji, Anningzhe Gao, et al.
  Conference on Language Modeling 2024 (COLM), 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
  Preprint, 2024.

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

• CoD, Towards an Interpretable Medical Agent using Chain of Diagnosis
  Junying Chen*, Chi Gui*, Anningzhe Gao, Ke Ji, et al.
  Preprint, 2024.

• LAMM: Label Alignment for Multi-Modal Prompt Learning
  Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, et al.
  The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024.

• Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
  Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, et al.
  International Conference on Computational Linguistics (COLING), 2024

• LLMs for Doctors: Leveraging Medical LLMs to Assist Doctors, Not Replace Them
  Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, et al.
  Preprint, 2024.

• 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

• 2024.09 - now, Large Language Models, The Chinese University of Hongkong, Shenzhen.

• 2024.10 - now, Post-Training & 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.