As a junior at the University of Science and Technology of China (USTC), I am pursuing a major in Data Science with a deep-seated interest in the advancement of deep learning and NLP. My primary research interest focuses on building robust machine learning systems with Large Language Models (LLMs). I have the privilege to receive guidance from Dr. Jiwei Li at Zhejiang University and Prof. Jiawei Han at UIUC.

CV

My detailed CV can be found here.

Publications

Similarity-based Neighbor Selection for Graph LLMs

Rui Li, Jiwei Li, Jiawei Han, Guoyin Wang. arXiv:2402.03720 https://arxiv.org/abs/2402.03720

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, and Jiwei Li. ICLR 2024 https://arxiv.org/abs/2309.14681

Education

• B.S. in Data Science, University of Science and Technology of China, School of the Gifted Young, 2021-2025
• Visiting Student, UC Berkeley, 2023

Research experience

• 2023-Now: Research Intern
  • University of Illinois Urbana-Champaign
  • Supervisor: Professor Jiawei Han
• 2022-2023: Research Assistant
  • Zhejiang University
  • Supervisor: Dr. Jiwei Li

Skills

• NLP and Deep Learning
  • Proficient in mainstream NLP frameworks, notably transformers and attuned to some of the latest advancements in NLP research
  • Have a deep understanding of prompt engineering and various methods to exploit the ability of LLMs, such as post-editing, majority voting, Chain-of Thought Prompting, and Least-to-Most Prompting
• Programming: Adept in C, C++, SQL, Python, deep learning frameworks such as PyTorch, familiar with Linux, Matlab, CSS