Scholar
Pang Wei Koh
Google Scholar ID: Nn990CkAAAAJ
University of Washington; Allen Institute for AI
Citations & Impact
Citations
26,996
H-index
42
i10-index
57
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Publications: Multiple papers on topics such as personalized reasoning, rethinking training signals in RLVR, improving retrieval for challenging benchmarks, open language models for flexible data use, precise information control in long-form text generation, the Delta Learning hypothesis, and profiling language model weaknesses via hierarchical capability trees.
Research Experience
- Work Experience: Before obtaining his Ph.D., he was the 3rd employee and Director of Partnerships at Coursera. Additionally, he worked on computational biology with Anshul Kundaje at Stanford and then at Calico Life Sciences.
Education
- Ph.D.: Stanford University in Computer Science, advised by Percy Liang; B.S./M.S.: Also from Stanford University, advised by Andrew Ng and Daphne Koller.
Background
- Research Interests: Developing methods to make AI systems more useful, responsible, and reliable in the real world, with a goal of enabling AI to have a positive impact in new ways, such as accelerating scientific discovery or providing universal access to medical advice. Professional Field: Machine Learning (ML) and Natural Language Processing (NLP). Bio: He is an Assistant Professor at the Allen School of Computer Science & Engineering, University of Washington, and also a research scientist at AI2.
Miscellany
- Personal Interests: No specific hobbies or other information mentioned.
