Mina Lee 이민아 (she/her)
mnlee@uchicago.edu
I am a postdoctoral researcher in the Computational Social Science group at Microsoft Research for 2023-2024.
I am an incoming assistant professor in Computer Science, Data Science Institute, and Cognitive Science (affiliated) at the University of Chicago starting in the summer of 2024.
I received my Ph.D. in Computer Science from Stanford University, where I was fortunate to be advised by Percy Liang. Before that, I was an undergraduate at Korea University.
Language Models (LMs) · Human-LM Interaction · Writing with AI
Recent news
- Our paper A Design Space for Intelligent and Interactive Writing Assistants got accepted to CHI 2024. 🎉
- I’m organizing Human-Centered Evaluation and Auditing of Language Models Workshop (HEAL) at CHI 2024. Please consider submitting your work!
- I will be joining the University of Chicago as an assistant professor in the summer of 2024!
- I am honored to be named as one of MIT Technology Review’s Korean Innovators under 35. 🏆
- I founded and organized the workshop on Intelligent and Interactive Writing Assistants at ACL 2022 and CHI 2023.
- CoAuthor was featured in The Economist, Stanford HAI, LADN, and PCMag articles.
- CoAuthor received an Honorable Mention Award at CHI 2022. 🏆
Research Interests
I strive to understand the impact of interacting with language models (LMs) on our writing processes and cognitive abilities. Concretely, I design writing assistants with the aim of exploring the interaction between humans and LMs, evaluate LMs based on their ability to interact with humans, and improve LMs to augment human capabilities and enhance our productivity and creativity. From helping users type sentences faster, to inspiring writers to come up with something creative, to helping programmers write code more easily, my focus lies in the synergy between humans and machines.
My research is at the intersection of natural language processing (NLP) and human-computer interaction (HCI). I publish in both NLP and HCI conferences (e.g., ACL, NAACL, and CHI).
I am actively looking for PhD students, who are passionate about language models, humans, and writing to delve into human-LM interaction! Please see this page for more information.
Education
Stanford University, Stanford, CA, USA (2023)
Doctor of Philosophy in Computer Science
Korea University, Seoul, Republic of Korea (2016)
Bachelor of Science in Computer Science and Engineering
University of British Columbia, Vancouver, BC, Canada (2015)
Exchange Student
Publications
A Design Space for Intelligent and Interactive Writing Assistants
Mina Lee✦, Katy Ilonka Gero✦, John Joon Young Chung✦, Simon Buckingham Shum✽, Vipul Raheja✽, Hua Shen✽, Subhashini Venugopalan✽, Thiemo Wambsganss✽, David Zhou✽, Emad A. Alghamdi†, Tal August†, Avinash Bhat†, Madiha Zahrah Choksi†, Senjuti Dutta†, Jin L.C. Guo†, Md Naimul Hoque†, Yewon Kim†, Simon Knight†, Seyed Parsa Neshaei†, Antonette Shibani†, Disha Shrivastava†, Lila Shroff†, Agnia Sergeyuk†, Jessi Stark†, Sarah Sterman†, Sitong Wang†, Antoine Bosselut*, Daniel Buschek*, Joseph Chee Chang*, Sherol Chen*, Max Kreminski*, Joonsuk Park*, Roy Pea*, Eugenia Ha Rim Rho*, Zejiang Shen*, Pao Siangliulue*
CHI 2024
✦ Project leads ✽ Team leads (alphabetical) † Team members (alphabetical) * Advisors (alphabetical)
–
Evaluating Human-Language Model Interaction
Mina Lee, Megha Srivastava, Amelia Hardy, John Tickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael Bernstein, Percy Liang
TMLR 2023
[paper]
–
Towards Explainable AI Writing Assistants
for Non-native English Speakers
Yewon Kim, Mina Lee, Donghwi Kim, Sung-Ju Lee
CHI 2023 Workshop on Intelligent and Interactive Writing Assistants (In2Writing)
–
TempLM: Distilling Language Models into Template-Based Generators
Tianyi Zhang, Mina Lee*, Lisa Li*, Ende Shen*, Tatsunori Hashimoto
ACL 2023
–
CoAuthor: Designing a Human-AI Collaborative Writing Dataset
for Exploring Language Model Capabilities
Mina Lee, Percy Liang, Qian Yang
CHI 2022
Honorable Mention Award 🏆
[paper] [website (dataset and replay)] [code (interface)] [talk]
–
On the Opportunities and Risks of Foundation Models
§2.5 Interaction: Joon Sung Park, Chris Donahue, Mina Lee, Siddharth Karamcheti, Dorsa Sadigh, Michael Bernstein
§5.5 Economics: Zanele Munyikwa, Mina Lee, Erik Brynjolfsson
Preprint
[paper]
–
Swords ⚔️: A Benchmark for Lexical Substitution
with Improved Data Coverage and Quality
Mina Lee*, Chris Donahue*, Robin Jia, Alexander Iyabor, Percy Liang
NAACL 2021
[paper] [code] [codalab]
–
Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
ACL 2020
[paper] [code] [talk]
–
Learning Autocomplete Systems as a Communication Game
Mina Lee, Tatsunori Hashimoto, Percy Liang
NeurIPS 2019 Workshop on Emergent Communication
Selected for Contributed Talk
[paper] [code] [talk]
–
SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang
NeurIPS 2019
[paper] [website]
–
Synthesizing Regular Expressions from Examples
for Introductory Automata Assignments
Mina Lee*, Sunbeom So*, Hakjoo Oh
GPCE 2016
Best Paper Award 🏆
[paper] [code] [blog]
Teaching Experience
CS49 Foundations of Computer Programming at Foothill College (2022) – Shadow Professor Eric Reed through the Preparing Future Professors program
CS224N Natural Language Processing with Deep Learning at Stanford University (2020) – Assist Professor Chris Manning as a Course Assistant
CPSC261 Basics of Computer Systems at University of British Columbia (2015) – Assist Professor Patrice Belleville as a Teaching Assistant
Industry Experience
Meta (formerly Facebook), Menlo Park, CA, USA (2018)
Software Engineer Intern
Trap Danmark, Copenhagen, Denmark (2015)
Software Engineer Intern
Workshop
Organizer for HEAL: Human-centered Evaluation and Auditing of Language Models at CHI 2024
Organizer for Intelligent and Interactive Writing Assistants at ACL 2022 and CHI 2023
Program committee for CtrlGen Workshop at NeurIPS 2021
Media Coverage
Why Artificial Intelligence Could Make Dating Better — And Duller by Inverse (February 2023) ❤️ 💔
ChatGPT Advice Academics Can Use Now by Inside Higher Ed (January 2023) 👩🏻🏫
MIT Technology Review Korea Announces Korean Winners of “Innovators Under 35” by MIT Technology Review (November 2022) 🏆
Searching for the “Second Zuckerberg” That Will Shake the World by Maeil Business Newspaper (November 2022)
[IU 35 Korea] Mina Lee (Stanford University)—AI Language Model by ETNews (November 2022)
Could AI Help You to Write Your Next Paper? by Nature (October 2022) 📝
AI Writing Assistants: A Cure for Writer’s Block or Modern-Day Clippy? by PCMag (September 2022)
Huge “Foundation Models” are Turbo-charging AI Progress by The Economist (June 2022)
He Writes His Next Screenplay with an AI and the Result Fascinates Him by LADN (June 2022)
Meet CoAuthor, an Experiment in Human-AI Collaborative Writing by Stanford Human-Centered Artificial Intelligence (May 2022) 👩🏻 🤖 ✍️
Written by AI? Can AI Really Write? by KT DX Insight (January 2022)
At Stanford, Supportive Group Culture Leads to Increased Learning Opportunities by AI Times (May 2021)
Stanford School of Engineering Spotlights: Mina Lee by Stanford School of Engineering (July 2018)
Book
지금 알려줄게요, 미국대학원 (2017)
Mina Lee 