Angelica Chen
Scholar

Angelica Chen

Google Scholar ID: QbW4GSwAAAAJ
New York University
NLPdeep learning
Citations & Impact
All-time
Citations
3,966
 
H-index
16
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences such as NeurIPS, ICLR, ICML, including 'Preference Learning Algorithms Do Not Learn Preference Rankings', 'Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs', etc.
Research Experience
  • PhD intern at Google Research on streaming models; student researcher at Google Brain on evolution with LLMs; research intern at Prescient Design on LLMs for discrete sequence optimization; upcoming Senior Research Scientist at Google DeepMind; Visiting Researcher at Meta AI NYC; part-time ML Scientist at Prescient Design.
Education
  • PhD: NYU Center for Data Science, Machine Learning for Language group, advised by Kyunghyun Cho; Bachelor's degree: Princeton Computer Science, senior thesis advised by Sebastian Seung, received an Outstanding Computer Science Thesis award.
Background
  • Research interests: Understanding and improving how large language models (LLMs) learn from online feedback, particularly through the lens of training dynamics. Recently, also interested in the use of LLMs for biological applications.
Miscellany
  • Enjoys running and baking, volunteers as a NYSDOH-certified rape and domestic violence crisis counselor/victim advocate for the NYC Crime Victims Treatment Center at local hospital EDs.
Co-authors
0 total
Co-authors: 0 (list not available)