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Kaitlyn Zhou
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2020 – today
- 2024
- [c8]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap:
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. ACL (1) 2024: 3623-3643 - [i7]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap:
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. CoRR abs/2401.06730 (2024) - [i6]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap:
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. CoRR abs/2407.07950 (2024) - 2023
- [j2]Kaitlyn Zhou
, Tom Wilson
Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events. ACM Trans. Soc. Comput. 6: 2:1-2:33 (2023) - [c7]Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto:
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models. EMNLP 2023: 5506-5524 - [i5]Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto:
Navigating the Grey Area: Expressions of Overconfidence and Uncertainty in Language Models. CoRR abs/2302.13439 (2023) - 2022
- [c6]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. ACL (2) 2022: 401-423 - [c5]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. ACL (Findings) 2022: 2074-2085 - [c4]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. NAACL-HLT 2022: 314-324 - [i4]Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky:
Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words. CoRR abs/2205.05092 (2022) - [i3]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Richer Countries and Richer Representations. CoRR abs/2205.05093 (2022) - [i2]Kaitlyn Zhou, Su Lin Blodgett, Adam Trischler, Hal Daumé III, Kaheer Suleman, Alexandra Olteanu:
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications. CoRR abs/2205.06828 (2022) - 2021
- [c3]Mitchell L. Gordon
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality. CHI 2021: 388:1-388:14 - [i1]Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky:
Frequency-based Distortions in Contextualized Word Embeddings. CoRR abs/2104.08465 (2021)
2010 – 2019
- 2018
- [j1]Tom Wilson, Kaitlyn Zhou, Kate Starbird:
Assembling Strategic Narratives: Information Operations as Collaborative Work within an Online Community. Proc. ACM Hum. Comput. Interact. 2(CSCW): 183:1-183:26 (2018) - 2017
- [c2]Peter M. Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma S. Spiro
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. CHI 2017: 2976-2987 - 2016
- [c1]Kate Starbird, Emma S. Spiro
Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring. CHI 2016: 360-371
Coauthor Index
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