Lucy Lu Wang

Assistant Professor, UW iSchool

lucy3.jpg

Allen Library 199D

University of Washington

Seattle, WA 98105

I am an Assistant Professor at the University of Washington Information School, and Adjunct in Computer Science & Engineering and Biomedical Informatics & Medical Education. I am also a Visiting Research Scientist at the Allen Institute for AI (AI2). My research asks whether AI and natural language processing techniques can make sense of scientific output and help people make better health-related decisions.

Previously, I postdoc-ed at AI2 on the Semantic Scholar research team. I completed my PhD in the Department of Biomedical Informatics and Medical Education (BIME) at the University of Washington.

My CV: pdf

news

Nov 22, 2023 Gave a talk at Hong Kong University of Science and Technology Library’s Seminar Series.
Nov 15, 2023 New preprint! ‚ÄúPersonalized Jargon Identification for Enhanced Interdisciplinary Communication‚ÄĚ ‚Äď Yue Guo‚Äôs internship project.
Nov 14, 2023 Gave a number of invited talks recently: A Keynote for Open Access Week at IU Bloomington on ‚ÄúTaking and Giving Back: Open Access, Generative AI, and the Transformation of Scholarly Communication‚ÄĚ 10/27, Singapore Alliance of University Libaries RSTF Webinar 11/1, and Unicamp CS Seminar 11/10.
Oct 20, 2023 Our paper, retitled ‚ÄúOpen Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval,‚ÄĚ was accepted to EMNLP Findings; available here on arXiv. Led by AI2 intern John Giorgi.
Oct 5, 2023 New preprint: ‚ÄúThe Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices.‚ÄĚ Led by AI2 intern Hancheng Cao.

select recent publications

  1. Personalized Jargon Identification for Enhanced Interdisciplinary Communication
    Yue Guo, Joseph Chee Chang, Maria Antoniak, Erin Bransom, Trevor Cohen, Lucy Lu Wang, and Tal August
    Nov 2023
  2. Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval
    John Giorgi, Luca Soldaini, Bo Wang, Gary Bader, Kyle Lo, Lucy Lu Wang, and Arman Cohan
    EMNLP Findings Dec 2023
  3. The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices
    Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, and Lucy Lu Wang
    arXiv Oct 2023
  4. Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
    Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E Kuehl, Erin Bransom, and Byron C Wallace
    ACL Jul 2023
  5. APPLS: A Meta-evaluation Testbed for Plain Language Summarization
    Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, and Lucy Lu Wang
    arXiv May 2023
  6. Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
    Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A Hearst, Andrew Head, and Kyle Lo
    Transactions of CHI Apr 2023