About me

Welcome! I'm Kangda Wei

PhD Student in Natural Language Processing at Texas A&M University

About Me

I am a second-year PhD student in the Natural Language Processing Group at Texas A&M University, where I am advised by Professor Ruihong Huang. Before becoming an Aggie, I graduated with a BS/MS degree in Computer Science from the University of North Carolina at Chapel Hill, where I was advised by Professor Shashank Srivastava.

Research Interests

🤖 Large Language Models

Exploring capabilities and applications of LLMs in various domains

📚 Natural Language Processing

Advancing language understanding and generation techniques

🎯 Multi-Modal Learning

Integrating vision and language for comprehensive AI systems

🤝 Multi-Agent Systems

Developing collaborative AI agents for complex problem solving

🎬 Video Understanding

Analyzing and interpreting temporal visual content

Background

Education

2023 - Present

Ph.D. in Computer Science

Texas A&M University

Natural Language Processing

Advisor: Prof. Ruihong Huang

• Passed Qualification Exam at 98th percentile (2024)

2022 - 2023

M.S. in Computer Science

University of North Carolina at Chapel Hill

Machine Learning & NLP

Advisor: Prof. Shashank Srivastava

2019 - 2022

B.S. in Computer Science & Statistics

University of North Carolina at Chapel Hill

Double Major

Professional Services

  • Reviewer for ACL Rolling Review (ARR) since January 2024, covering ACL/NAACL/EACL/AACL/EMNLP.
  • Reviewer for IEEE/CVF WACV 2025
  • Reviewer for The Computer Journey

Awards & Recognition

  • Texas A&M University CSE Department Travel Grant (2023, 2024)
  • Ph.D Qualification Exam - 98th percentile (2024)

Industry Experience

May 2024 - Aug 2024

Applied Scientist Intern

Bosch Research, Sunnyvale CA

Video Understanding with Multi-Modal Multi-Agent System

Mentors: Zhengyu Zhou, Bingqing Wang, Jun Araki, Lukas Lange, Zhe Feng

Research Experience

Aug 2023 - Present

Research Assistant

Texas A&M University, College Station TX

Natural Language Processing Lab

Advisor: Prof. Ruihong Huang

May 2022 - May 2023

Visiting Research Assistant

Johns Hopkins University, Baltimore MD

Machine Reading & Question Decomposition

Mentor: Prof. Benjamin van Durme

May 2021 - Aug 2021

Visiting Research Assistant

University of California, Santa Barbara CA

Multilingual COVID-19 Question Answering System

Mentor: Prof. William Wang

Jan 2021 - Jun 2023

Research Assistant

University of North Carolina, Chapel Hill NC

Learning from Language Lab

Advisor: Prof. Shashank Srivastava

Recent News

2025 EMNLP 2025

Paper accepted to Findings of EMNLP 2025: "Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs" [PDF] [Code]

2025 ACL 2025

Paper accepted to Findings of ACL 2025: "LegalCore: A Dataset for Event Coreference Resolution in Legal Documents" [PDF] [Code]

2025 ACL 2025

Paper accepted to NLP4PosImpact: "CliME: Evaluating Multimodal Climate Discourse on Social Media" [PDF] [Code] [Data]

2024 WACV 2025

Paper accepted: "UALBench: The First Comprehensive Unusual Activity Localization Benchmark" [PDF]

2024 Achievement

Passed Ph.D Qualification Exam at 98th percentile

Show more news...

• 2024 - Joined Bosch Research as Applied Scientist Intern

• 2023 - Joined the NLP lab at Texas A&M University

• 2023 - Completed MS in Computer Science at UNC-Chapel Hill

• 2022 - Completed BS in Computer Science and BS in Statistics at UNC-Chapel Hill