By clicking “Accept All Cookies,” you agree to the storing of cookies on your device to enhance site navigation and analyze site usage.

Skip to main content

Hong-Yi Tu Ye

PhD Candidate

Hong-Yi Tu Ye is a PhD Candidate at MIT Sloan within the Information Systems/Technologies Group and a graduate student affiliate at the MIT Initiative on the Digital Economy and the Stanford Digital Economy Lab. Ye’s research is focused on the economics of artificial intelligence with an emphasis on labor market impacts, entrepreneurship, and digital experimentation.

Previously Ye was a pre-doctoral fellow at Stanford studying the impact of Medicare quantity regulation (local coverage determination) on physician behavior.

Contact Information

Featured publications

Research Papers Prompt Adaptation as a Dynamic Complement in Generative AI Systems

April 12, 2026

  • David Holtz | Assistant Professor, Columbia Business School
  • Benjamin Manning | Ph.D. Candidate
  • Eaman Jahani | Assistant Professor, Robert H. Smith School of Business, University of Maryland
  • Hong-Yi Tu Ye | PhD Candidate
    • Joe Zhang | Stanford University
    Mohammed Alsobay | Microsoft Research
    Christos Nicolaides | University of Cyprus
    Siddharth Suri | Microsoft Research
    This paper studies prompt adaptation—how users adjust their inputs in response to evolving model behavior—using a common experimental design applied to two preregistered tasks with 3,750 total participants who submitted nearly 37,000 prompts.