Kaitlyn Zhou

29 papers A* 4Journal 17Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
"Sorry, I Didn't Catch That": How Speech Models Miss What Matters Most.
CoRR
Kaitlyn Zhou, Martijn Bartelds, Federico Bianchi, James Zou
2026 J jnl
Greater accessibility can amplify discrimination in generative AI.
CoRR
Carolin Holtermann, Minh Duc Bui, Kaitlyn Zhou, Valentin Hofmann, Katharina von der Wense, Anne Lauscher
2025 J jnl
Attention to Non-Adopters.
CoRR
Kaitlyn Zhou, Kristina Gligoric, Myra Cheng, Michelle S. Lam, Vyoma Raman, Boluwatife Aminu, Caeley Woo, Michael Brockman, Hannah Cha, Dan Jurafsky
2025 — conf
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations.
ACL (Findings)
Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren
2025 J jnl
ELI-Why: Evaluating the Pedagogical Utility of Language Model Explanations.
CoRR
Brihi Joshi, Keyu He, Sahana Ramnath, Sadra Sabouri, Kaitlyn Zhou, Souti Chattopadhyay, Swabha Swayamdipta, Xiang Ren
2025 J jnl
Humans overrely on overconfident language models, across languages.
CoRR
Neil Rathi, Dan Jurafsky, Kaitlyn Zhou
2025 — conf
Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs.
FAccT
Jeffrey Basoah, Daniel Chechelnitsky, Tao Long, Katharina Reinecke, Chrysoula Zerva, Kaitlyn Zhou, Mark Díaz, Maarten Sap
2025 J jnl
Not Like Us, Hunty: Measuring Perceptions and Behavioral Effects of Minoritized Anthropomorphic Cues in LLMs.
CoRR
Jeffrey Basoah, Daniel Chechelnitsky, Tao Long, Katharina Reinecke, Chrysoula Zerva, Kaitlyn Zhou, Mark Díaz, Maarten Sap
2025 — conf
REL-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance.
NAACL (Long Papers)
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
2025 J jnl
ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning.
CoRR
Yongchan Kwon, Shang Zhu, Federico Bianchi, Kaitlyn Zhou, James Zou
2025 — conf
Rethinking Word Similarity: Semantic Similarity through Classification Confusion.
NAACL (Long Papers)
Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani
2025 J jnl
Rethinking Word Similarity: Semantic Similarity through Classification Confusion.
CoRR
Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani
2024 J jnl
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance.
CoRR
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap
2024 — conf
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty.
ACL (1)
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap
2024 J jnl
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty.
CoRR
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap
2023 J jnl
Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models.
CoRR
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023 A* conf
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models.
EMNLP
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
2023 J jnl
Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events.
ACM Trans. Soc. Comput.
Kaitlyn Zhou, Tom Wilson, Kate Starbird, Emma S. Spiro
2022 — conf
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.
NAACL-HLT
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022 J jnl
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications.
CoRR
Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu
2022 — conf
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words.
ACL (2)
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022 J jnl
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words.
CoRR
Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky
2022 — conf
Richer Countries and Richer Representations.
ACL (Findings)
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2022 J jnl
Richer Countries and Richer Representations.
CoRR
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2021 J jnl
Frequency-based Distortions in Contextualized Word Embeddings.
CoRR
Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky
2021 A* conf
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality.
CHI
Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael S. Bernstein
2018 J jnl
Assembling Strategic Narratives: Information Operations as Collaborative Work within an Online Community.
Proc. ACM Hum. Comput. Interact.
Tom Wilson, Kaitlyn Zhou, Kate Starbird
2017 A* conf
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking.
CHI
Peter M. Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma S. Spiro
2016 A* conf
Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring.
CHI
Kate Starbird, Emma S. Spiro, Isabelle Edwards, Kaitlyn Zhou, Jim Maddock, Sindhuja Narasimhan