Scholar
Amir Zur
Google Scholar ID: W49XeTIAAAAJ
Stanford University
Citations & Impact
Citations
181
H-index
4
i10-index
2
Publications
9
Co-authors
0
Publications
Cited
0
Resume (English only)
Academic Achievements
- Published paper 'Updating CLIP to Prefer Descriptions Over Captions' at EMNLP 2024 conference; co-authored 'Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability'.
Research Experience
- Worked as a Data Scientist at Microsoft; conducting research at Stanford University on language models.
Education
- PhD student at Stanford University, advised by Dr. Christopher Potts.
Background
- First-year PhD student at Stanford NLP, excited about understanding how AI models learn and process language. Research focuses on causally-motivated explanation and evaluation of language models, currently exploring how language models represent and resolve uncertainty.
Miscellany
- Always happy to chat!
Co-authors