K
Kaitlyn Zhou
Researcher at Stanford University
Publications - 11
Citations - 304
Kaitlyn Zhou is an academic researcher from Stanford University. The author has contributed to research in topics: Computer science & Sensemaking. The author has an hindex of 5, co-authored 6 publications receiving 154 citations. Previous affiliations of Kaitlyn Zhou include University of Washington.
Papers
More filters
Posted Content
On the Opportunities and Risks of Foundation Models.
Rishi Bommasani,Drew A. Hudson,Ehsan Adeli,Russ B. Altman,Simran Arora,Sydney von Arx,Michael S. Bernstein,Jeannette Bohg,Antoine Bosselut,Emma Brunskill,Erik Brynjolfsson,Shyamal Buch,Dallas Card,Rodrigo Castellon,Niladri S. Chatterji,Annie Chen,Kathleen Creel,Jared Davis,Dora Demszky,Chris Donahue,Moussa Doumbouya,Esin Durmus,Stefano Ermon,John Etchemendy,Kawin Ethayarajh,Li Fei-Fei,Chelsea Finn,Trevor Gale,Lauren Gillespie,Karan Goel,Noah D. Goodman,Shelby Grossman,Neel Guha,Tatsunori Hashimoto,Peter Henderson,John Hewitt,Daniel E. Ho,Jenny Hong,Kyle Hsu,Jing Huang,Thomas Icard,Saahil Jain,Dan Jurafsky,Pratyusha Kalluri,Siddharth Karamcheti,Geoff Keeling,Fereshte Khani,Omar Khattab,Pang Wei Koh,Mark Krass,Ranjay Krishna,Rohith Kuditipudi,Ananya Kumar,Faisal Ladhak,Mina Lee,Tony Lee,Jure Leskovec,Isabelle Levent,Xiang Lisa Li,Xuechen Li,Tengyu Ma,Ali Ahmad Malik,Christopher D. Manning,Suvir Mirchandani,Eric Mitchell,Zanele Munyikwa,Suraj Nair,Avanika Narayan,Deepak Narayanan,Ben Newman,Allen Nie,Juan Carlos Niebles,Hamed Nilforoshan,Julian Nyarko,Giray Ogut,Laurel Orr,Isabel Papadimitriou,Joon Sung Park,Chris Piech,Eva Portelance,Christopher Potts,Aditi Raghunathan,Rob Reich,Hongyu Ren,Frieda Rong,Yusuf H. Roohani,Camilo Ruiz,Jack Ryan,Christopher Ré,Dorsa Sadigh,Shiori Sagawa,Keshav Santhanam,Andy Shih,Krishnan Srinivasan,Alex Tamkin,Rohan Taori,Armin W. Thomas,Florian Tramèr,Rose E. Wang,William Yang Wang,Bohan Wu,Jiajun Wu,Yuhuai Wu,Sang Michael Xie,Michihiro Yasunaga,Jiaxuan You,Matei Zaharia,Michael Zhang,Tianyi Zhang,Xikun Zhang,Yuhui Zhang,Lucia Zheng,Kaitlyn Zhou,Percy Liang +113 more
TL;DR: The authors provides a thorough account of the opportunities and risks of foundation models, ranging from their capabilities (e.g., language, vision, robotics, reasoning, human interaction) and technical principles(e. g.g. model architectures, training procedures, data, systems, security, evaluation, theory) to their applications.
Proceedings ArticleDOI
Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring
TL;DR: A flexible typology for types of expressed uncertainty is developed and applied across six rumors from two crisis events to demonstrate the role of uncertainty in the collective sensemaking process that occurs during crisis events.
Proceedings ArticleDOI
The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality
TL;DR: In this paper, disagreement deconvolution takes in any multi-annotator (e.g., crowdsourced) dataset, disentangles stable opinions from noise by estimating intra-annotators consistency.
Journal ArticleDOI
Assembling Strategic Narratives: Information Operations as Collaborative Work within an Online Community
TL;DR: This research analyzes the English-language conversation surrounding the reemergence of Omran Daqneesh (the "Aleppo Boy") on Syrian state television, almost a year after his family's home was bombed in an airstrike conducted by the Syrian government.
Proceedings ArticleDOI
Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking
TL;DR: A conceptual model and associated analysis algorithms are developed that allow us to distinguish between whether rumor evolution occurs through reliance on a centralized information source, in parallel information silos, or through a web of complex informational interactions.