Meng Chen
HCI + AI Researcher
I work on Human-AI Interaction. I am interested in making human-Large Language Model (LLM) communication more effective and reliable.
  • Execution Humans and LLMs now collaborate on complex tasks where user agency and personal goals define success (e.g., creativity, accessibility). How can we design interactions that complement their strengths rather than replace one another?
  • Evaluation Long-form LLM outputs are rarely perfect on the first try. How can users express preferences and evaluate results when misalignments are subtle and errors are hard to detect?

I am a 2nd-year 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.

I'm actively seeking research internship positions for Summer 2026, especially in Human-LLM (agent) Interaction. You can check out my publications or CV for more details.
I'm always down to chat about potential opportunities or collaborations! Just send me an email.

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

Project Page Video Paper
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