Lucy Lu Wang

Assistant Professor, iSchool, University of Washington

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


I am an Assistant Professor at the University of Washington Information School. I hold Adjunct appointments in Computer Science & Engineering, Biomedical Informatics & Medical Education, and Human Centered Design & Engineering. I am also a Visiting Research Scientist at the Allen Institute for AI (AI2), affiliated with the Semantic Scholar Research Team.

I study how language technologies can help improve access and understanding of information, especially in high-expertise domains like science and healthcare. I achieve this by investigating AI/NLP techniques and tools to improve access to scholarly content, synthesize scientific evidence, and support people in making better health-related decisions.

Interested in joining our lab? Read this.

Curriculum vitae: PDF

news

10/16 New preprint: “Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only” showing the benefits of preference alignment between wrong answers only.
10/03 Two 🌴EMNLP🌴 paper acceptances! “APPLS: Evaluating Evaluation Metrics for Plain Language Summarization” to the main conference and “Characterizing LLM Abstention Behavior in Science QA with Context Perturbations” to Findings.
08/15 New preprint! “Know Your Limits: A Survey of Abstention in Large Language Models” Led by Bingbing Wen.
07/24 Our paper “Uncovering the New Accessibility Crisis in Scholarly PDFs: Publishing Model and Platform Changes Contribute to Declining Scholarly Document Accessibility in the Last Decade” is accepted to ASSETS 2024! Led by Anukriti.
06/15 My invited essay “Generative AI for Scholarly Information Access” is now published in the June issue of Charleton Hub’s Against the Grain!

select recent publications

  1. Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only
    Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, and Yulia Tsvetkov
    arXiv Oct 2024
  2. APPLS: Evaluating Evaluation Metrics for Plain Language Summarization
    Yue Guo, Tal August, Gondy Leroy, Trevor Cohen, and Lucy Lu Wang
    EMNLP Nov 2024
  3. Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
    Bingbing Wen, Bill Howe, and Lucy Lu Wang
    EMNLP Findings Nov 2024
  4. Uncovering the New Accessibility Crisis in Scholarly PDFs: Publishing Model and Platform Changes Contribute to Declining Scholarly Document Accessibility in the Last Decade
    Anukriti Kumar, and Lucy Lu Wang
    ASSETS Oct 2024
  5. 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
    arXiv Jul 2024
  6. Generative AI for Scholarly Information Access
    Lucy Lu Wang
    Charleston Hub’s Against the Grain Jun 2024