Kaitlyn Zhou

Welcome! My name is Kaitlyn Zhou (she/her) and I'm a Ph.D. student at Stanford University. I am advised by Professor Dan Jurafsky. My recent work has focused on the analysis of language models, the fairness implications of NLG evaluations, and the language of online mis- and disinformation. I have previously interned at Microsoft Research FATE where I worked with Alexandra Olteanu and Su Lin Blodgett. I completed my Bachelor's and Master's at the University of Washington and worked with Kate Starbird and Emma Spiro.



Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications

NAACL 2022 (Oral)

Kaitlyn Zhou , Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu. PDF

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words

ACL 2022

Kaitlyn Zhou , Kawin Ethayarajh, Dallas Card, Dan Jurafsky PDF

Richer Countries and Richer Representations

ACL 2022 - Findings

Kaitlyn Zhou , Kawin Ethayarajh, Dan Jurafsky PDF

On the Opportunities and Risks of Foundation Models

arXiv:2108.07258, 2021.

Rishi Bommasani, Drew A. Hudson ... Kaitlyn Zhou , Percy Liang et al. PDF

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.

CHI 2021

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein. PDF

Assembling strategic narratives: Information operations as collaborative work within an online community.

CSCW 2018

Wilson, Tom, Kaitlyn Zhou, and Kate Starbird. PDF

Centralized, parallel, and distributed information processing during collective sensemaking.

CHI 2017.

Krafft, Peter, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, and Emma S. Spiro. PDF

Could this be true? I think so! Expressed uncertainty in online rumoring.

CHI 2016

Starbird, Kate, Emma Spiro, Isabelle Edwards, Kaitlyn Zhou, Jim Maddock, and Sindhuja Narasimhan. PDF