Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring. - Kate Starbird; Emma S. Spiro; Isabelle Edwards; Kaitlyn Zhou; Jim Maddock; Sindhuja Narasimhan (CHI, 2016)

Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. - Peter M. Krafft; Kaitlyn Zhou; Isabelle Edwards; Kate Starbird; Emma S. Spiro (CHI, 2017)

Assembling Strategic Narratives: Information Operations as Collaborative Work within an Online Community. - Tom Wilson 003; Kaitlyn Zhou; Kate Starbird (Proc. ACM Hum. Comput. Interact., 2018)

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. - Mitchell L. Gordon; Kaitlyn Zhou; Kayur Patel; Tatsunori Hashimoto; Michael S. Bernstein (CHI, 2021)

Frequency-based Distortions in Contextualized Word Embeddings. - Kaitlyn Zhou; Kawin Ethayarajh; Dan Jurafsky (CoRR, 2021)

Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. - Kaitlyn Zhou; Kawin Ethayarajh; Dallas Card; Dan Jurafsky (ACL (2), 2022)

Richer Countries and Richer Representations. - Kaitlyn Zhou; Kawin Ethayarajh; Dan Jurafsky (ACL (Findings), 2022)

Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. - Kaitlyn Zhou; Su Lin Blodgett; Adam Trischler; Hal Daumé III; Kaheer Suleman; Alexandra Olteanu (NAACL-HLT, 2022)

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. - Kaitlyn Zhou; Dan Jurafsky; Tatsunori Hashimoto (EMNLP, 2023)

Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. - Kaitlyn Zhou; Dan Jurafsky; Tatsunori Hashimoto (CoRR, 2023)

Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events. - Kaitlyn Zhou; Tom Wilson 003; Kate Starbird; Emma S. Spiro (ACM Trans. Soc. Comput., 2023)

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Maarten Sap (ACL (1), 2024)

ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations. - Brihi Joshi; Keyu He; Sahana Ramnath; Sadra Sabouri; Kaitlyn Zhou; Souti Chattopadhyay; Swabha Swayamdipta; Xiang Ren 001 (ACL (Findings), 2025)

Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs. - Jeffrey Basoah; Daniel Chechelnitsky; Tao Long; Katharina Reinecke; Chrysoula Zerva; Kaitlyn Zhou; Mark Díaz; Maarten Sap (FAccT, 2025)

Rethinking Word Similarity: Semantic Similarity through Classification Confusion. - Kaitlyn Zhou; Haishan Gao; Sarah Li Chen; Dan Edelstein; Dan Jurafsky; Chen Shani (NAACL (Long Papers), 2025)

REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. - Kaitlyn Zhou; Jena D. Hwang; Xiang Ren 001; Nouha Dziri; Dan Jurafsky; Maarten Sap (NAACL (Long Papers), 2025)

Humans overrely on overconfident language models, across languages. - Neil Rathi; Dan Jurafsky; Kaitlyn Zhou (CoRR, 2025)