Research

Our research group is interested in the evolving relationship between humans and AI, with a special focus on Writing with AI. We design and evaluate AI writing assistants (e.g., design space), investigate human-AI collaborative writing processes (e.g., CoAuthor), and conduct user studies, controlled experiments, and surveys to examine the broader implications, such as how AI might shift social norms around authorship, reshape writing education, and influence our everyday communication. Beyond writing, our group's interests span areas such as how AI can support human cognition and decision-making, how AI can enhance learning and teaching, evaluating AI systems with a focus on the needs and experiences of users, and improving public understanding of AI.

Our members have backgrounds in natural language processing (NLP), human-computer interaction (HCI), and computational social science (CSS). Check out the topics each member is passionate about below!

Interested in joining us? Please see the Contact page for more information for prospective students.

Available projects for interns: We currently don't have any available projects for research interns. In case you want to be considered when a spot opens up in the future, please fill out this form. Please note that I'm not monitoring emails for research interns.

Publications

Building Machines that Learn and Think with People

Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt, Kartik Chandra, Lionel Wong, Mina Lee, Cedegao E. Zhang, Tan Zhi-Xuan, Mark Ho, Vikash Mansinghka, Adrian Weller, Joshua B. Tenenbaum, Thomas L. Griffiths Natural Human Behavior 2024

How Non-native English Speakers Use, Assess, and Select AI-Generated Paraphrases with Information Aids

Yewon Kim, Thanh-Long V. Le, Donghwi Kim, Mina Lee, Sung-Ju Lee Preprint

A Design Space for Intelligent and Interactive Writing Assistants

Mina Lee, Katy 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, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Zejiang Shen, Pao Siangliulue CHI 2024 Project website

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

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 Project website

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 Project website

On the Opportunities and Risks of Foundation Models

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri Chatterji, Annie Chen, Kathleen Creel, Jared Quincy Davis, Dora Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Kohd, Mark Krass, Ranjay Krishna, Rohith Kuditipudi, Ananya Kumar, Faisal Ladhak, Mina Lee, Tony Lee, Jure Leskovec, Isabelle Levent, Xiang Lisa Li, Xuechen Li, Tengyu Ma, Ali Malik, Christopher D. Manning, Suvir Mirchandani, Eric Mitchell, Zanele Munyikwa, Suraj Nair, Avanika Narayan, Deepak Narayanan, Ben Newman, Allen Nie, Juan Carlos Niebles, Hamed Nilforoshan, Julian Nyarko, Giray Ogut, Laurel Orr, Isabel Papadimitriou, Joon Sung Park, Chris Piech, Eva Portelance, Christopher Potts, Aditi Raghunathan, Rob Reich, Hongyu Ren, Frieda Rong, Yusuf Roohani, Camilo Ruiz, Jack Ryan, Christopher Ré, Dorsa Sadigh, Shiori Sagawa, Keshav Santhanam, Andy Shih, Krishnan Srinivasan, Alex Tamkin, Rohan Taori, Armin W. Thomas, Florian Tramèr, Rose E. Wang, William Wang , Bohan Wu, Jiajun Wu, Yuhuai Wu, Sang Michael Xie, Michihiro Yasunaga, Jiaxuan You, Matei Zaharia, Michael Zhang, Tianyi Zhang, Xikun Zhang, Yuhui Zhang, Lucia Zheng, Kaitlyn Zhou, Percy Liang Preprint

Swords ⚔️: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality

Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang NAACL 2021

Enabling Language Models to Fill in the Blanks

Chris Donahue, Mina Lee, Percy Liang ACL 2020

Learning Autocomplete Systems as a Communication Game

Mina Lee, Tatsunori Hashimoto, Percy Liang NeurIPS 2019 Workshop on Emergent Communication Selected for Contributed Talk

SPoC: Search-based Pseudocode to Code

Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang NeurIPS 2019 Project website

Synthesizing Regular Expressions from Examples for Introductory Automata Assignments

Mina Lee, Sunbeom So, Hakjoo Oh GPCE 2016 Best Paper Award

Members

Mina Lee (she/her)
Assistant Professor
Jingchao Fang (she/her)
Postdoc
  • AI as Cognitive Scaffold
  • HCI for Learning
Grace Li (she/they)
PhD Student
  • Writing with AI
  • AI in Education
  • Creativity Support Tools
Yichen (Zach) Wang (he/him)
PhD Student
  • Natural Language Generation
  • Interactive LLM
  • Safe Generative Model
Jiayin Zhi (she/her)
PhD Student
  • Collective AI Evaluation
  • Responsible AI
  • AI Literacy