Meng Chen
HCI + AI Researcher
I work on Human-AI Interaction. I am broadly interested in designing interfaces that support disambiguation process in human communication with Large Language Models (LLMs) and others.
  • 1 We express ourselves more than writing long paragraphs. What are some non-language cues and interaction techniques that can effectively align participants (human and/or LLM) in collaborative tasks?
  • 2 Misalignments are obsure and hard to detect in long-form LLM outputs. What are some good metrics and methods that can support end-user validation and evaluation?

I am a CS PhD student at The University of Texas at Austin advised by Amy Pavel. I obtained my Bachelor's degree in Computer Science and Philosophy from the University of Notre Dame where I worked closely with Toby Jia-jun Li.
Featured Project
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation

Sangho Suh*, Meng Chen*, Bryan Min, Toby Jia-Jun Li, Haijun Xia

CHI2024

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