I am a 2nd-year Ph.D. student in Computer Science at University of Pittsburgh adviced by Professor Xiang (Lorraine) Li. I got my Master of Science in Engineering (M.S.E) degree in Data Science at University of Pennsylvania, where I worked with Professors Chris Callison-Burch and Lyle Ungar; I got my Bachelor of Science degree (B.S.) in Data Science at UC San Diego, where I worked with Professor Jingbo Shang, who was also my first mentor in the field of NLP.
My current research focus is natural language understanding, in particular, commonsense reasoning, event-centric reasoning, and grounded language understanding. More about my research expriences and projects can be found in my cv
Aside from NLP, I am also a cat person.
Recent Updates
- 12/2024: Our recent work, Improve LLM-based Automatic Essay Scoring with Linguistic Features, is accepted as a spotlight paper at Innovation and Responsibility in AI-Supported Education (iRaise) workshop at AAAI 2025!
- 02/2024: Choice-75: A Dataset on Decision Branching in Script Learning, is accepted to appear on LREC-COLING!
- 08/2023: Started my Ph.D. at Pitt! If you are in Pittsburgh area, let’s connect!
- 05/2023: I will be on internship at UII America in Boston during summer 2023, working on training large language models for trust-worthy QA in the medical domain.