Scholar
Mengzhou Xia
Google Scholar ID: fNexhaUAAAAJ
Princeton University
Citations & Impact
Citations
4,000
H-index
24
i10-index
32
Publications
20
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the 2024 Apple Scholars in AIML PhD Fellowship and the 2022 Bloomberg Data Science PhD Fellowship. Paper 'Benign Data Attack' won Best Paper Award at ICLR 2024 Workshop. Multiple papers accepted to top conferences like NeurIPS 2024 and ICML 2024.
Research Experience
- Interned at Meta AI, Microsoft Research, and Bloomberg AI. Research spans efficient pre-training methods, understanding and optimizing data's impact on model behaviors, and evaluating and advancing model reasoning.
Education
- Ph.D.: Computer Science at Princeton University, advisor Prof. Danqi Chen; M.S.: Carnegie Mellon University, advisor Prof. Graham Neubig; B.S.: Data Science and Software Engineering at Fudan University, China.
Background
- Research Interests: Developing algorithms that enable the training of capable language models with less computational resources. Field: Natural Language Processing. Background: Fifth-year Ph.D. candidate in Computer Science at Princeton, advised by Prof. Danqi Chen.
Miscellany
- Personal interests not detailed. Active on Google Scholar, Semantic Scholar, GitHub, and X. On the job market for 2025.
