Scholar
Kaitlyn Zhou
Google Scholar ID: SQAK2mwAAAAJ
Stanford University
Citations & Impact
Citations
7,916
H-index
13
i10-index
13
Publications
19
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance' won Best Paper Runner-Up at NAACL 2025; multiple papers published in EMNLP'23, ACL'24, NAACL'25, etc.; invited talks at Northwestern University, University of Washington, TogetherAI, Cornell University, MIT, and Northeastern University.
Research Experience
- Summer research at Microsoft Research FATE (hosted by Alexandra Olteanu and Su Lin Blodgett) and Allen Institute for AI (hosted by Maarten Sap, Jena Hwang, and Xiang Ren); served on the University of Washington Board of Regents, appointed by Governor Jay Inslee.
Education
- Ph.D. student in Computer Science at Stanford University, advised by Dan Jurafsky; B.Sc., B.Se., M.S. in Computer Science and Human Centered Design and Engineering from the University of Washington, where she won the School of Engineering Dean's Medal of Excellence.
Background
- Research interests: dynamics of human interaction with language models (human-LM interaction), focusing on how generated language shapes human decision-making, reliance, and trust. Research directions include identifying model overconfidence as a key risk of human-LM interactions, building context-aware evaluation frameworks for emergent human-LM interactions, and reimagining human-LM interactions for historically marginalized user groups via human-centered task ideation.
Miscellany
- Will join Cornell Information Science as an Assistant Professor in August 2026 and will be recruiting students in natural language processing and human-computer interactions.
