Photo credit: Anna Wu Photography

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


AI-Assisted Writing


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


TempLM: Distilling Language Models into Template-Based Generators
Tianyi Zhang, Mina Lee*, Lisa Li*, Ende Shen*, Tatsunori Hashimoto
arXiv 2022

[paper] [code]

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


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


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


Facebook, Menlo Park, CA, USA (2018)
Software Engineer Intern

Neural Contextual Code Search: Search Engine for PyTorch Functions


Guest lecture

Cornell University, Human-AI Interaction Design Research (2021) [slides]
Seoul National University (SNU), AI Summer School (2021) [slides] [talk]

Invited talk

Chung-Ang University (중앙대학교) – CAU-AI핵심 기술세미나 (2022)
Grammarly – AI-NLP Club (2022) [talk]
Simons Institute for the Theory of Computing – AI and Humanity (2022)
Seoul National University (SNU; 서울대학교), AI773: Special Topics in Artificial Intelligence – Deep Learning and Real-world Applications (2022)
Korea Advanced Institute of Science and Technology (KAIST; 카이스트), AI599: Special Topics in Machine Learning (2022)
Korea Advanced Institute of Science and Technology (KAIST; 카이스트) (2022)
University of Minnesota – Twin Cities, NLP Seminar (2021)
Square (2020)



Stanford CS224N Project Mentoring (2020, 2021)
Stanford CS Summer Undergraduate Research Program (CURIS) (2020)
Stanford AI Lab (SAIL) Undergraduate Mentoring Program (2019, 2020)


NAACL (2022)
ICLR (2021)
NeurIPS (2021, 2022)
ACL (2021)


Organizer for Intelligent and Interactive Writing Assistants at ACL 2022

Program committee for CtrlGen Workshop at NeurIPS 2021


PCMag (2022) – AI Writing Assistants: A Cure for Writer’s Block or Modern-Day Clippy? [article]

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]


지금 알려줄게요, 미국대학원 (2017)