Graduate Student, University of Illinois at Urbana-Champaign
Undergraduate Student, Tsinghua UniversityHi, there! I'm Zhe Wang, a first year M.S. student at University of Illinois at Urbana-Champaign, majoring in Computer Science. I am advised by Prof. Lingming Zhang.
Before coming to UIUC, I completed my undergraduate study at Tsinghua University, majoring in Mathematics and Physics.
Research Interests
My research interest lies in the intersection of Artificial Intelligence and Software Engineering. More specifically:
- LLMs for Code: to develop LLMs to solve software engineering tasks through post-training via synthetic data
- Trustworthy LLMs: to enhance trustworthiness, resilience and reliability of helpful-only LLMs against vulnerable code and malicious cyberactivity attacks
- LLM Applications: to empower LLMs with reasoning, planning and collaboration capabilities through alignment training and agent-based systems
Warning
Problem: The current name of your GitHub Pages repository ("Solution: Please consider renaming the repository to "
http://".
However, if the current repository name is intended, you can ignore this message by removing "{% include widgets/debug_repo_name.html %}" in index.html.
Action required
Problem: The current root path of this site is "baseurl ("_config.yml.
Solution: Please set the
baseurl in _config.yml to "Education
-
University of Illinois at Urbana-ChampaignM.S. in Computer ScienceAug. 2024 - Present
-
Tsinghua UniversityB.S. in Mathematics and PhysicsSep. 2020 - Jul. 2024
-
Shanghai High SchoolHigh SchoolSep. 2017 - Jun. 2020
Selected Publications (view all )
Magicoder: Empowering Code Generation with OSS-Instruct
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang
ICML 2024
We introduce Magicoder, a series of fully open-source (code, weights, and data) Large Language Models (LLMs) for code that significantly closes the gap with top code models while having no more than 7B parameters.
Magicoder: Empowering Code Generation with OSS-Instruct
Yuxiang Wei, Zhe Wang, Jiawei Liu, Yifeng Ding, Lingming Zhang
ICML 2024
We introduce Magicoder, a series of fully open-source (code, weights, and data) Large Language Models (LLMs) for code that significantly closes the gap with top code models while having no more than 7B parameters.