Chenming Ge

Chenming Ge

he/him

HCI · Generative UI · Computer-use Agents

RELIEF: Revision-Based Learning from Interactive Experience and Feedback

RELIEF's four-step workflow: generate an interface, collect feedback, revise the interface, and fine-tune the generation model using revised traces.
RELIEF learns from feedback-guided interface revisions. Method overview from Figure 1 of the paper.

Generative UI · Human–AI Interaction

Purdue University · May – Oct 2026
Advisor: Dr. Jason Wu

I investigated how user interaction traces provided implicit feedback for improving the usability of generated interfaces. This work contributed to RELIEF, which used feedback-guided interface revisions to construct supervision for fine-tuning code generation models.

My contributions

  • Built a pipeline to generate websites, collect task interaction traces in a user study, diagnose usability problems, and automatically repair websites using the resulting critiques.
  • Explored fine-tuning UI generation models using websites revised with usability critiques. RELIEF reconstructed the corresponding generation traces for supervised fine-tuning.
  • Explored computer-use agents and coding agents as baselines for simulating user behavior and providing usability feedback.

Paper (PDF) · Publication Details

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