“Fine-Grained Understanding and Analysis of Factual Claims in Social Media and News Articles.” Thesis advisor: Dr. Chengkai Li
I am a recent Ph.D. graduate from the Department of Computer Science and Engineering at the University of Texas at Arlington, where I was advised by Dr. Chengkai Li in the IDIR Lab. My research focuses on social sensing and social media surveillance, leveraging natural language processing, machine learning, and LLM techniques.
Research Interests
My research interests span natural language processing, natural language generation, and machine learning. I am particularly interested in developing intelligent systems powered by large language models (LLMs) to address real-world challenges.
My recent work explores the use of LLMs for social good, including automated taxonomy construction, truthfulness stance detection, and cherry-picking detection in news reporting. More broadly, I am enthusiastic about AI solutions that improve information understanding, facilitate knowledge discovery, and contribute to meaningful societal outcomes.
Education
Experience
- Investigating how different narratives affect LLMs' beliefs
- Designed and evaluated hands-on projects, and graded assignments, exams, and programming tasks
- Held office hours and online Q&A sessions to help students understand key concepts, clarify coursework, and troubleshoot project challenges
- Supported courses: Design and Analysis of Algorithms, DBMS Models and Implementation Techniques, Programming Languages, Database Systems and File Structure
- Helped peers with C++, Data Structures, Java, x86 Assembly, HTML, College Algebra, Precalculus, Calculus, and MATLAB