Hi There

Hi there! I am a second-year Masters student in the CS department at Univeristy of Illinois Urbana-Champaign. Previously I received my undergraduate degrees in both Computer Science and Mathematics from University of Massachusetts, Amherst. I’ve worked as a graduate research assistant with Prof. Heng Ji at the BLENDER Lab, and Prof. Hao Peng at UIUC as well. Before that, I worked at the Information Fusion Lab advised by Prof. Ina Fiterau and the TRIPODS Institute for Theoretical Foundations of Data Science at UMass Amherst advised by Prof. Yulong Lu as a research intern.

Research Interests

My most recent research interest lies in studying the bahaviors of Large Language Models (LLMs) and mitigating the undesirable text generation such as hallucinated and harmful content. More broadly speaking, I am interested in many topics that are at the intersection of natural language processing, multimodal agents, and cognitive science. Ultimately I would like to build safer and more responsible AI systems that act in alignment to human values.


  • University of Illinois, Urbana-Champaign
    • Master in Computer Science, 2022-2023, advised by Prof. Heng Ji and Prof. Hao Peng
  • University of Massachusetts, Amherst
    • B.S. in Computer Science, 2018-2022
    • B.S. in Mathematics, 2018-2022
    • Degree Honors: Commonwealth Honors Scholar with Greatest Distinction


  • Examining LLMs’ Uncertainty Expression Towards Questions Outside Parametric Knowledge
    Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng
    Preprint 2023 [paper]
  • Paxion: Patching Action Knowledge in Video-Language Foundation Models
    Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
    NeurIPS 2023, Spotlight [Paper]
  • An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection
    Genglin Liu, Yi R. Fung, Heng Ji
    Proceedings of the The 17th International Workshop on Semantic Evaluation [paper]
  • Schematic Event Representation: An Empirical Approach to Hierarchical Schema Curation
    Reece Suchocki, Mary Lynn Martin, Genglin Liu, Martha Palmer, Susan Brown
    Preprint, 2023
  • Forecasting Alzheimer’s Disease Two Years Ahead from Longitudinal Multimodal Data
    Sidong Zhang, Evan Fellman, James Ko, Genglin Liu, Madalina Fiterau
    Preprint, 2023
  • Demystifying The Spectral Bias of Overparameterized Deep Neural Networks
    Genglin Liu, Yulong Lu
    UConn REU Conference, 2021 [technical report]
  • Hybrid Convolution and Deep Learning with Structured Covariates
    Genglin Liu, Madalina Fiterau
    Undergraduate Honors Thesis, 2022 [thesis manuscript]

Internships/Research Experiences

Spring 2024 - Present: Department of Computer Science, UIUC

  • Research Assistant
  • Advisor: Hao Peng
  • Projects: Uncertainty Expression in Large Language Models

Fall 2022 - Fall 2023: BLENDER NLP Lab, Urbana IL

  • Graduate Research Assistant
  • Advisor: Heng Ji
  • Projects: Multimodal learning, multilingual-NLP

Summer 2022: BLENDER NLP Lab, Urbana IL

  • Research Intern
  • Advisor: Heng Ji
  • Project: Multimedia misinformation detection

Summer 2021: TRIPODS Institute for Theoretical Foundations of Data Science, Amherst MA

  • Research Intern
  • Advisor: Yulong Lu
  • Project: spectral properties and learnability of Neural Tangent Kernels with different activation functions

Fall 2020 - Spring 2022: InfoFusion Lab, Amherst MA

  • Undergrad Research Assistant
  • Advisor: Ina Fiterau
  • Project: Hybrid convolutional neural networks which take visual and tabular data as multimodal input. (Undergraduate Honors Thesis)

Mentoring/Teaching Experiences

  • Course Assistant
    CS 311: Algorithms, spring 2021
    CS 250: Discrete Mathematics, fall 2020
    College of Information and Computer Sciences, UMass Amherst
  • Undergraduate Teaching Assistant
    Math 103: Calculus I, fall 2019
    Math 104: Calculus II, spring 2020
    Department of Mathematics and Statistics, UMass Amherst
  • Residential Peer Mentor
    Fall 2019 - Fall 2022, UMass Amherst

Awards and Honors

  • College of Information and Computer Sciences Departmental Honors, 2022
  • Bay State Fellowship Recipient at UMass Amherst, 2022 (declined)
  • Chancellor’s Award at UMass Amherst, 2018 ($56000)


ACL reviewer, 2024