Mina Lee 이민아 李旼雅 (Lǐ mínyǎ)
[email] [cv] [bio]
I am a final year Ph.D. candidate in Computer Science at Stanford University advised by Professor Percy Liang.
AI-Assisted Writing · Natural Language Processing · Human-Computer Interaction
News
- Upcoming talk at Simons AI and Humanity Research Cluster (7/28) and Grammarly AI-NLP Club (8/3)
- CoAuthor was featured in Stanford HAI and The Economist articles! 🎉
- I organized the First Workshop on Intelligent and Interactive Writing Assistants at ACL 2022 (5/26)
- CoAuthor received an Honorable Mention Award at CHI 2022 🏆
- Gave a talk on the Economic Impact of Foundation Models on Writing at Stanford Digital Economy Lab (4/19)
AI-Assisted Writing
Interests
My research goal is to enhance our productivity and creativity in the writing process by leveraging Natural Language Processing techniques. From helping users type sentences faster, to inspiring writers to come up with something creative, to helping developers write code more easily, I am interested in the interaction between human and computer and how technology can aid humans to be better writers.
Stanford Natural Language Processing Group
Stanford Artificial Intelligence Lab
Stanford Center for Research on Foundation Models
Stanford Institute for Human-Centered Artificial Intelligence
Research
TempLM: Distilling Language Models into Template-Based Generators
Tianyi Zhang, Mina Lee*, Lisa Li*, Ende Shen*, Tatsunori Hashimoto
arXiv 2022
–
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
arXiv 2021
[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 Assistant
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
Education
Stanford University, Stanford, CA, USA (2017 – Present)
Ph.D. Student in Computer Science
Korea University, Seoul, Republic of Korea (2016)
Bachelor of Science in Computer Science and Engineering
Bachelor of Engineering in Software Technology and Enterprise Program
University of British Columbia, Vancouver, BC, Canada (2015)
Exchange Student
Internship
Facebook, Menlo Park, CA, USA (2018)
Software Engineer Intern
Talk
Guest lecture
Cornell University, Human-AI Interaction Design Research (2021) [slides]
Seoul National University (SNU), AI Summer School (2021) [slides] [talk]
Invited talk
Seoul National University (SNU), AI773: Special Topics in Artificial Intelligence – Deep Learning and Real-world Applications (2022)
Korea Advanced Institute of Science and Technology (KAIST), AI599: Special Topics in Machine Learning (2022)
Korea Advanced Institute of Science and Technology (KAIST) (2022)
University of Minnesota – Twin Cities, NLP Seminar (2021)
Square (2020)
Service
Mentoring
Stanford CS224N Project Mentoring (2020, 2021)
Stanford CS Summer Undergraduate Research Program (CURIS) (2020)
Stanford AI Lab (SAIL) Undergraduate Mentoring Program (2019, 2020)
Review
NAACL (2022)
ICLR (2021)
NeurIPS (2021, 2022)
ACL (2021)
Workshop
Organizer for Intelligent and Interactive Writing Assistants at ACL 2022
Program committee for CtrlGen Workshop at NeurIPS 2021
Media
The Economist (2022) – Huge “foundation models” are turbo-charging AI progress [article]
Stanford Human-Centered Artificial Intelligence (2022) – Meet CoAuthor, an Experiment in Human-AI Collaborative Writing [article]
KT DX Insight (2022) – Written by AI, AI가 글을 쓴다고? [article]
AI Times (2021) – 학생 공동체 간 활동, 배움의 기회로 연결 [article]
Stanford School of Engineering Spotlights (2018) [facebook] [instagram] [twitter]
Book
지금 알려줄게요, 미국대학원 (2017)
Mina Lee 