Meng Chen
HCI + AI Researcher
I work on Human-AI Interaction. I am broadly interested in designing interactions for effective, personalized, and safe human-Large Language Model (LLM) communication.
  • 1 We communicate through more than just text. What are other interaction techniques and modalities that can effectively align humans and/or LLMs in collaborative tasks?
  • 2 Long-form LLM outputs are rarely perfect in the first try. Misalignments can be subtle; errors are hard to detect. How can users interactively show their preferences to LLMs, and what methods best support end-user auditing?

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 Projects
Surfacing Variations to Calibrate Perceived Reliability of MLLM-Generated Image Descriptions

Surfacing Variations to Calibrate Perceived Reliability of MLLM-Generated Image Descriptions

Meng Chen, Akhil Iyer, Amy Pavel

ASSETS 2025

Paper
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

CHI 2024

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