Hi! I'm Grace, a second-year Computer Science PhD student at the University of Chicago advised by Professor Mina Lee. My research is in student-AI interaction with a focus on designing and evaluating AI literacy interventions for both students and educators.
My research focuses on designing and evaluating real-world AI-literacy interventions that help students critically engage with large language models (LLMs). I have built interactive platforms that log fine-grained user behavior can be used to evaluate the effectiveness of AI literacy lessons on both student knowledge and behaviors. I developed and taught a comprehensive AI literacy course focused on LLM literacy across technical, socio-ethical, and career development dimensions. I have also established research-practice-partnership with City Colleges of Chicago to bring AI literacy to community college educators.
Before joining UChicago, I did my undergrad at Barnard College, double majoring in Computer Science and English with a concentration in Creative Writing. I earned English Departmental Honors and the Theodore R. Bashkow Undergraduate Research Award in Computer Science. I was fortunate to be advised by Jhumpa Lahiri, for my Creative Writing Thesis. Throughout my undergraduate career, I did research with Professor Lydia Chilton on Human-AI co-writing tools to support science communication and with Professor Smaranda Muresan on using explanation dialogues to improve science explanations.
If you are a current undergraduate or masters student at UChicago, interested in working with me, please email me with your a resume and cover letter.
Most recent publications on Google Scholar.
‡ indicates equal contribution.
"I would have completely trusted the LLM's response": Changes in Students' Understanding and Behaviors After an AI Literacy Hallucination Lesson
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
Experiential Activities to Help Teach Students about Large Language Model Hallucinations
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
"I would have completely trusted the LLM's response": Changes in Students' Understanding and Behaviors After an AI Literacy Hallucination Lesson
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
Experiential Activities to Help Teach Students about Large Language Model Hallucinations
Grace Li, Jonathan Liu, Jaemarie Solyst, Diana Franklin, and Mina Lee
under submission. 2025.
Experiential Activities to Help Teach Students about Large Language Model Hallucinations
Milad Aloshmary, Grace Li, Anubhav Jangra, Yufang Hou, Kathleen McKeown, and Smaranda Muresan
under submission. 2026.
"I never would have thought to say this": Example-Based Exploration to Balance Scientists' Writing Preferences with Public Science Communication Strategies
Grace Li, YY Teng, Juna Kawai-Yue, Unaisah Ahmed, Anatta Tantiwongse, Jessica Liang, Dorothy Zhang, Kynnedy Simone Smith, Tao Long, Lydia B. Chilton
under submission. 2025.
Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media
Tao Long, Dorothy Zhang, Grace Li, Batool Taraif, Samia Menon, Kynnedy Smith, Sitong Wang, Katy Gero, Lydia B. Chilton
ICCC'24: International Conference on Computational Creativity. 2023.
Eliciting Topic Hierarchies from Large Language Models
Grace Li, Tao Long, Lydia B. Chilton
arXiv: arxiv preprint. 2023.
"Is ChatGPT a Better Explainer than My Professor?": Evaluating the Explanation Capabilities of LLMs in Conversation Compared to a Human Baseline
Grace Li, Milad Alshomary, Smaranda Muresan
arXiv: arxiv preprint. 2024.
University of Chicago - Pre-College Program, Summer 2026
Course Title: Understanding AI: Technical, Socio-Ethical, and Career Development
Position: Instructor of Record
University of Chicago - Pre-College Program, Summer 2025
Course Title: Understanding AI: Technical, Socio-Ethical, and Career Development
Position: Instructor of Record
Columbia University, Spring 2024
Course Title: User Interface Design
Position: Teaching Assistant
New York City PS 153 - 1st and 2nd Grade, Spring 2024
Course Title: Afterschool Computing Program
Position: Co-Instructor
Columbia University, Fall 2023
Course Title: Natural Language Processing
Position: Teaching Assistant
Barnard College, Spring 2023 - Spring 2024
Course Title: Speaking Center
Position: Head Speaking Fellow
Barnard College, Spring 2022 - Fall 2023
Course Title: Introduction to Data Structures and Algorithms
Position: Peer Tutor