Research

Mina Lee
minalee@stanford.edu

I am a final year Ph.D. candidate in Computer Science at Stanford University advised by Professor Percy Liang. [CV]

Language Models (LMs) · Human-LM Interaction · NLP · HCI

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

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)

[paper] [website]

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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]

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TempLM: Distilling Language Models into Template-Based Generators
Tianyi Zhang, Mina Lee*, Lisa Li*, Ende Shen*, Tatsunori Hashimoto
ACL 2023

[paper] [code]

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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]

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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]

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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]

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Enabling Language Models to Fill in the Blanks
Chris Donahue, Mina Lee, Percy Liang
ACL 2020

[paper] [code] [demo] [blog] [slides] [talk]

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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]

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SPoC: Search-based Pseudocode to Code
Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang
NeurIPS 2019

[paper] [website]

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Synthesizing Regular Expressions from Examples
for Introductory Automata Assignments
Mina Lee*, Sunbeom So*, Hakjoo Oh
GPCE 2016
Best Paper Award 🏆

[paper] [code] [poster] [blog]