Lucy Lu Wang

portrait photo of a smiling east asian woman with chin-length black hair, wearing a black and white striped shirt, in front of a background of trees and dahlias

Allen Library 199D

University of Washington

Seattle, WA 98105


Assistant Professor, Information School, University of Washington
Adjunct, Paul G. Allen School of Computer Science & Engineering
Adjunct, Biomedical Informatics & Medical Education
Adjunct, Human Centered Design & Engineering
Research Scientist, Allen Institute for AI (Ai2)
 

Hello and welcome! I am an Assistant Professor at the University of Washington Information School, where I lead the Language Accessibility Research (LARCH) lab. You can find a list of our publications here.

I am an NLP and health informatics researcher, studying how to design and build language technologies to improve access to and understanding of information, especially in high-expertise domains like science and healthcare. My work has resulted in techniques and tools to improve access to scholarly content, synthesize scientific evidence, and support people to make better decisions about their health.

Curriculum vitae: PDF

Questions for me? Check the FAQ page first.

 

news

04/28 🎉 Sharing a few recent paper acceptances:
I will be attending CHIL in Seattle and ACL in San Diego.
02/28 Katelyn Mei’s paper on buckpassing and AI-assisted decision-making has been accepted to TOCHI! Read here.
10/17 Our demo paper on AI-assisted risk of bias assessment will be presented at EMNLP! Read it here.
07/25 Attending ACL in Vienna next week where we’re presenting two papers (Abstention Survey, Mitigating Overconfidence) and I’m giving a talk at the SDP workshop.
06/27 Our paper “Benchmarking PDF Accessibility Evaluation: A Dataset and Framework for Assessing Automated and LLM-Based Approaches for Accessibility Testing,” led by Anukriti, introduces a new dataset resource to assess PDF accessibility evaluation and has been accepted to ACM ASSETS!

select recent publications

  1. Illusions of the Gold Standard: A Large-scale Analysis of Human Evaluation Protocols for Long-form Text Generation
    Katelyn Xiaoying Mei, Yi-Li Hsu, Minjoon Choi, Zongwan Cao, Chenjun Xu, Bingbing Wen, Su Lin Blodgett, and Lucy Lu Wang
    In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) Jul 2026
  2. Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes
    Izzy Chaiken, Aditya Khowal, Neha A. Sathe, Mark M. Wurfel, and Lucy Lu Wang
    In Proceedings of the Conference on Health, Inference, and Learning (CHIL) Jun 2026
  3. Beyond Readability Metrics: Plain Language Priorities in Disability Advocacy Organizations
    Anukriti Kumar, Kate Glazko, Yueran Sun, Mark Harniss, Lucy Lu Wang, and Jennifer Mankoff
    In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT) Jun 2026
  4. ReFinE: Streamlining UI Mockup Iteration with Research Findings
    Donghoon Shin, Bingcan Guo, Jaewook Lee, Lucy Lu Wang, and Gary Hsieh
    In Proceedings of the 2026 ACM Designing Interactive Systems (DIS) Conference Jun 2026
  5. ROBOTO2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
    Anthony Hevia, Sanjana Chintalapti, Veronica Ka Wai Lai, Thanh Tam Nguyen, Wai-Tat Wong, Terry Klassen, and Lucy Lu Wang
    In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations Nov 2025
  6. Know Your Limits: A Survey of Abstention in Large Language Models
    Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, and Lucy Lu Wang
    Transactions of the Association for Computational Linguistics (TACL) Nov 2025