Mina Lee
minalee@stanford.edu
I am a final year Ph.D. candidate in Computer Science at Stanford University advised by Professor Percy Liang.
Language Models · Human-AI Interaction · NLP · HCI
News
- I am applying for academic jobs this year! [CV][Google Scholar][Research Statement][Teaching Statement][Diversity Statement]
- I am honored to be named as one of MIT Technology Review’s Korean Innovators under 35. 🏆 [certificate]
- I founded and organized the First Workshop on Intelligent and Interactive Writing Assistants at ACL 2022. The Second Workshop will be held at CHI 2023! Stay tuned! 🎉
- 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 enhance our productivity and creativity in the writing process by leveraging language models (LMs). Concretely, I evaluate LMs based on their ability to interact with humans and build LMs to augment human capabilities. From helping users type sentences faster, to inspiring writers to come up with something creative, to helping programmers write code more easily, I am interested in the interaction between humans and machines and how technology can aid humans to be better writers.
My research is in natural language processing (NLP) and draws inspiration from human-computer interaction (HCI). I publish in both NLP and HCI conferences (e.g., ACL, NAACL, and CHI).
Stanford Natural Language Processing Group
Stanford Artificial Intelligence Lab
Stanford Center for Research on Foundation Models
Stanford Institute for Human-Centered Artificial Intelligence
Education
Stanford University, Stanford, CA, USA (2017 – Present)
Ph.D. Candidate 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
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
Preprint
[paper]
–
TempLM: Distilling Language Models into Template-Based Generators
Tianyi Zhang, Mina Lee*, Lisa Li*, Ende Shen*, Tatsunori Hashimoto
Preprint
–
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] [slides] [talk] [certificate]
[article by Stanford HAI] [article by The Economist]
–
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] [demo] [blog] [slides] [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] [poster] [slides] [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] [poster] [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 Intelligent and Interactive Writing Assistants at ACL 2022
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 