Scholar
Chengrun Yang
Google Scholar ID: XYYhXe4AAAAJ
Research Scientist, Google DeepMind
Citations & Impact
Citations
1,808
H-index
11
i10-index
11
Publications
15
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published papers: 'Long-Form Factuality in Large Language Models' at NeurIPS 2024; 'Large Language Models as Optimizers' at ICLR 2024.
Research Experience
- Currently a research scientist at Google DeepMind. Was a student researcher at Google Brain from Summer 2021 to Spring 2022.
Education
- Ph.D. from the School of Electrical and Computer Engineering at Cornell University in May 2022, advised by Prof. Madeleine Udell, with committee members Prof. Thorsten Joachims and Prof. Kilian Q. Weinberger. B.S. in physics from Fudan University in 2016.
Background
- Broadly interested in optimization methods for machine learning, with a specific focus on model self-improvement, including but not limited to: optimization with foundation models, model self-evaluation, and model selection and architecture search.
Miscellany
- Contact: crgyang at gmail dot com; Social media links: Twitter, Google Scholar, GitHub, LinkedIn
Co-authors