Hi, my name is Huihan Li. I’m a third year PhD student working on Natural Language Processing in University of Southern California. I’m part of the INK Lab, advised by Xiang Ren. I got my M.S.E in Computer Science from Princeton University, being part of the Princeton Natural Language Processing Group and advised by Danqi Chen. I studied Computer Science and Cognitive & Linguistic Sciences at Wellesley College, working with Christine Bassem on human crowdsensing.

I am passionate about Natural Language Processing, Computational Linguistics, and everything about languages. In high school, I competed in International Linguistics Olympiad representing China, and won an Honorable Mention in Sofia, Bulgaria (2015) and a Bronze Medal in Mysore, India (2016).

Outside of research, I enjoy all kinds of sports, cooking/baking, and reading. I played water polo in college and it had been one of my best memories. Currently, I am learning tennis.

Research

My research focuses on training and evaluating language models for robust generalization. As of now, I am especially interested in attributing LM performance to pretraining data. My broad research goal involves two key objectives: (1) understanding the impact of data frequency on model learning, especially in the low-confidence domain or distribution, i.e. the long-tail distribution; (2) developing methods for detecting and generating long-tail data to enhance model performance across diverse scenarios. A full list of my publications is in this link.

News

• August 2024. I am awarded the Amazon ML PhD Fellowship for 2024-2025. This fellowship will support my work on Secure and Trusted Machine Learning.
• July 2024. Our paper, “CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting”, is accepted to COLM 2024. See you in Philly in October!
• March 2023. I will be joining AI2 Mosaic Team as a summer research intern starting May 2023, working with Nouha Dziri and Yejin Choi!

Teaching

• Introduction to Programming Systems (COS217). Princeton University
• Data Structures (CS230). Wellesley College

Experience

• Ink Lab, USC. PhD Student. Sept. 2022 - Present
  • Research in Natural Language Processing
  • Advisor: Xiang Ren
• AI2, Mosaic. Research Intern. May 2023 - Present
  • Work on Multicultural biases in LM
  • Mentor: Nouha Dziri, Yejin Choi
• Apple. AI/ML Intern. May 2022 - Aug. 2022
  • Individual NLP research/engineering project, Siri Information Intelligence, Answers and Web Ranking Team
  • Mentors & Supervisors: Michael Tu, Nihkil Ramesh, Chris Dubois
• Princeton NLP Group. M.S.E Student. Sept. 2020 - May 2022
  • Research in Natural Language Processing
  • Advisor: Danqi Chen
• Wellesley College. Research Assistant. Sept. 2018 - July 2020
  • Research in Mobile Crowdsensing
  • Advisor: Christine Bassem
• Google. SWE Intern. May 2019 - Aug. 2019
  • Individual engineering project, Shopping Assistant, Natural Language Team
  • Supervisors: Jesse Welch, John Karro

Honors and Awards

• Amazon Fellow. University of Southern California. Aug. 2024
• Siebel Scholars. Princeton University. Sept. 2021
• Sigma Xi Scientific Research Honor Society. Wellesley College. May 2020
• Durant Scholars magna cum laude. Wellesley College. May 2020

Service and leadership

• Reviewer. COLING 2024, ACL 2024, EMNLP 2024, ARR Aug 2024, COLING 2025, ICLR 2025
• Student Representative on Board of Admission. Wellesley College. Oct. 2019 - May 2020