I am a PhD student at The Hong Kong University of Science and Technology, Department of Computer Science and Engineering. I am fortunate to be advised by Junxian He. I am generally interested in natural language processing and machine learning and currently working on model merging.
📝 Publications
Most recent publications on Google Scholar.
* denotes co-first authors, $^\dagger$ denotes corresponding author/main advisor
Composing Parameter-Efficient Modules with Arithmetic Operations
Jinghan Zhang, Shiqi Chen, Junteng Liu, Junxian He$^\dagger$
Paper |
- Abstract: In this paper, we study model merging on parameter-efficient modules like LoRA and (IA)^3.
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang*, Yuzhuo Bai*, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He$^\dagger$
NeurIPS 2023 (Datasets and Benchmarks track). [arxiv] [github] [website] [dataset]
FELM: Benchmarking Factuality Evaluation of Large Language Models
Shiqi Chen, Yiran Zhao, Jinghan Zhang, I-Chun Chern, Siyang Gao, Pengfei Liu, Junxian He$^\dagger$
NeurIPS 2023 (Datasets and Benchmarks track). [arxiv] [github] [website] [dataset]
🎖 Awards
- 2023.06 Outstanding Undergraduate Thesis in SEU (top 3%)
- 2021.12 National Scholarship
📖 Education
- 2024.02 - now PhD student, Department of CSE, HKUST, Hong Kong SAR, China.
- 2023.11 - 2024.01 Research Assistant, Department of CSE, HKUST, Hong Kong SAR, China.
- 2019.09 - 2023.06 Undergraduate, Artificial Intelligence, Southeast University, Nanjing, China.