Minhwa Lee

Research Staff, University of Massachusetts Lowell

minhwalee [AT] umass.edu / minhwa_lee1@uml.edu


May I be a blessing to whomever I meet..🩵

Hello!

I am a full-time research staff at University of Massachusetts Lowell (UMass Lowell), working under the guidance of Prof. Hong Yu. I earned my Bachelor's degrees in Computer Science and Mathematics from The College of Wooster, followed by a Master's degree in Computer Science from University of Massachusetts Amherst.


Research Areas

My research is centered on developing and evaluating AI-powered systems that aim to improve the well-being of marginalized communities, with a focus on education and healthcare settings.

[Updated Oct 2024] Here is my full CV.

Updates

  • [Sep. 2024]    Our preprint about diversity extraction from LLMs is accepted to EMNLP 2024!
  • [Aug. 2024]    I accepted an offer as a full-time research staff at University of Massachusetts Lowell!
  • [May. 2024]    Our preprint about benchmarking LLM evaluations on cognitive biases is accepted to ACL 2024!
  • [Mar. 2024]    My first NLP + HCI paper about human-AI collaboration is accepted to In2Writing Workshop @ CHI 2024!
  • [Feb. 2024]    Our paper about public health surveillance using social media and machine learning is accepted to LREC-COLING 2024!
  • [Jan. 2024]    A new preprint is out! My first 1st-authored paper in NLP domain! Check out how various types of LLM-generated data still lacks "humanness" through several stress testing!
  • [Nov. 2023]    A new preprint is out! Check out how much our novel method of criteria-based prompting can promote diversity and inclusion in LLMs!
  • [Sep. 2023]    A new preprint about LLM evaluation is out! Check out how much LLM evaluation are affected by cognitive biases and compare it with human alignment as well!
  • [June. 2023]    Elated to announce that I will be working as a full-time visiting researcher at Minnesota NLP!

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

How Far Can We Extract Diverse Perspectives from Large Language Models? Paper

Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang

EMNLP 2024

Benchmarking Cognitive Biases in Large Language Models as Evaluators Paper Data

Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang

Findings of ACL 2024

Human-AI Collaborative Taxonomy Construction: A Case Study of Profession-specific Writing Assistants Paper Code

Minhwa Lee, Zae Myung Kim, Vivek A. Khetan, Dongyeop Kang

The Third In2Writing Workshop at CHI 2024

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data Paper

Vijeta Deshpande, Minhwa Lee, Zonghai Yao, Zihao Zhang, Jason B. Gibbons, Hong Yu

LREC-COLING 2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data Paper Code Data

Debarati Das, Karin De Langis, Anna Martin, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jonginn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang

Under Review by Computational Linguistics

Socioeconomic and Geographic Disparities... [Full Title to be disclosed after acceptance]

Minhwa Lee, Yifan Zhang, Jason B. Gibbons, Huan-Yuan Chen, Zonghai Yao, Yan Wang, Feiyun Ouyang, David Levy, Katherine L. Tucker, Hong Yu

Under Review by Nature Scientific Reports

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information Paper Code

Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu

ACL 2023

How Far Can We Extract Diverse Perspectives from Large Language Models? PDF

Shirley Anugrah Hayati, Minhwa Lee, Dheeraj Rajagopal, Dongyeop Kang

EMNLP 2024

Benchmarking Cognitive Biases in Large Language Models as Evaluators PDF

Ryan Koo, Minhwa Lee, Vipul Raheja, Jong Inn Park, Zae Myung Kim, Dongyeop Kang

Findings of ACL 2024

Human-AI Collaborative Taxonomy Construction: A Case Study of Profession-specific Writing Assistants PDF Code

Minhwa Lee, Zae Myung Kim, Vivek A. Khetan, Dongyeop Kang

The Third In2Writing Workshop at CHI 2024

LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data PDF

Vijeta Deshpande, Minhwa Lee, Zonghai Yao, Zihao Zhang, Jason B. Gibbons, Hong Yu

LREC-COLING 2024

Under the Surface: Tracking the Artifactuality of LLM-Generated Data PDF Code

Debarati Das, Karin De Langis, Anna Martin, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jonginn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang

Under Review by Computational Linguistics

Socioeconomic and Geographic Disparities... [Full Title to be disclosed after acceptance]

Minhwa Lee, Yifan Zhang, Jason B. Gibbons, Huan-Yuan Chen, Zonghai Yao, Yan Wang, Feiyun Ouyang, David Levy, Katherine L. Tucker, Hong Yu

Under Review by Nature Scientific Reports

Vision Meets Definitions: Unsupervised Visual Word Sense Disambiguation Incorporating Gloss Information PDF Code

Sunjae Kwon, Rishabh Garodia, Minhwa Lee, Zhichao Yang, Hong Yu

ACL 2023

Statistical and Machine Learning Approaches to Depressive Disorders Among Adults in the United States: From Factor Discovery to Prediction Evaluation PDF Poster

Minhwa Lee

Honors Thesis at The College of Wooster, 2021.

Vitæ

  • University of Massachusetts Aug 2024 - Current
    Research Staff at UMass (Amherst - Lowell)
    BioNLP Lab
  • University of Minnesota July 2023 - July 2024
    Research Intern at UMN Twin Cities
    Full-time Research Intern @ Minnesota NLP
    (advised by Prof. Dongyeop Kang)
  • Microsoft Jan 2023 - Feb 2023
    Micro-intenship
    Data Scientist Intern (MAIDAP)
  • BioNLP Lab May 2022 - Aug 2022
    Summer Research Assistant
    Continued Research at BioNLP lab
  • Bloomberg LP Jan - May 2022
    Graduate Student Researcher
    Project: Sequential Sentence Classification for Longer Documents
  • UMass Amherst Aug. 2021 - May 2023
    M.S. in Computer Science
    BioNLP Lab (Aug 2021 - May 2023)
  • The College of Wooster Aug. 2017 - May. 2021
    B.A. in Computer Science; B.A. in Mathematics
    Computer Science, Mathematics (Double Major)
    Magna Cum Laude
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