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Lu Wang 王璐

Lu Wang is an Associate Professor of Computer Science and Engineering at University of Michigan. Previously until 2020, she was at Khoury College of Computer Sciences, Northeastern University. She completed her Ph.D. in the Department of Computer Science at Cornell University, under supervision of Professor Claire Cardie.

Lu researches in natural language processing and machine learning. More specifically, Lu aims to build trustworthy large language models that produce factual, accurate, and safe content. She works on problems of factuality, reasoning, evaluation, alignment, as well as creating novel AI applications. Her work won senior area chair award at ACL 2024, best paper honorable mention award at CHI 2023, outstanding paper award at ACL 2017, and best paper nomination award at SIGDIAL 2012. Lu's work has been mainly funded by National Science Foundation (NSF, including a CAREER award), Air Force Office of Scientific Research (AFOSR), Intelligence Advanced Research Projects Activity (IARPA), Coefficient Giving, and industry partnerships (including LG AI Research, Cisco Research, OpenAI, and Amazon Research Award).

Lu currently serves as ACL equity director. She is a co-founder and an officer of ACL Special Interest Group on Summarization (SIGSUMM).

Lu has also advised external corporations and organizations on NLP and AI applications (contact form).

Announcements

  • ‌ Current

    We are recruiting! For prospective Ph.D. students, postdocs, and master students who are interested in doing research with me, please read this page.

Recent Grants/Projects

  • 2021–2026
    National Science Foundation (long document summarization)
    "CAREER: Long Document Summarization with Question-Summary Hierarchy and User Preference Control", No. 2046016, PI.
  • 2025–2028
    Air Force Office of Scientific Research
    "Scalable Narrative Influence Modeling and Prediction via Large Language Model Simulation", PI.
  • 2025–2026
    Amazon Research Award
    "Benchmarking and Monitoring Multi-Agent Scheming", PI.
  • 2025–2027
    Coefficient Giving
    "Out-of-Context Learning in Alignment Faking", PI.
  • 2025–2027
    OpenAI
    "Monitoring and Training Safe AI Agents with Reasoning Verification", PI, with co-PI Honglak Lee.
  • 2026–2027
    LG AI Research
    "Training Scientific Discovery Agents with Improved Non-Verifiable Reasoning", PI.
  • 2026–2027
    Cisco Systems
    "Cognitive Self-Evolving Agents with Adaptive Memory", PI.

Academic Position

  • Present 2023

    Associate Professor

    University of Michigan, Computer Science and Engineering

  • 2023 2020

    Assistant Professor

    University of Michigan, Computer Science and Engineering

  • 2020 2015

    Assistant Professor

    Northeastern University, Khoury College of Computer Sciences

Education

  • Ph.D. 2016

    Ph.D., Computer Science

    Cornell University

  • B.Sc.2009

    Intelligence Science and Technology

    Peking University

  • B.Econ.2009

    Economics

    Peking University