Joshua Robinson
Scholar

Joshua Robinson

Google Scholar ID: dw01MZ0AAAAJ
CS PhD student, University of Southern California
sequence modelingnatural language processingmachine learning
Citations & Impact
All-time
Citations
681
 
H-index
3
 
i10-index
3
 
Publications
5
 
Co-authors
0
 
Resume
Academic Achievements
  • Links to CV, LinkedIn, and Google Scholar are provided for more information, but specific academic achievements are not directly listed.
Research Experience
  • Focused on evaluating and eliciting capabilities in large, pre-trained sequence models, and improving model architectures and training/inference strategies through insights from interpretability research.
Education
  • Pursuing a PhD in Computer Science at the University of Southern California, advised by Prof. Dani Yogatama.
Background
  • A 4th-year CS PhD student at the University of Southern California, focusing on evaluating and eliciting capabilities in large, pre-trained sequence models. Also interested in developing better model architectures and training/inference strategies by leveraging insights from interpretability research.
Miscellany
  • Connect via Twitter, GitHub, or email.