I am a 3rd-year Ph.D. student in Computer Science at University of Pittsburgh advised 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 evaluation of large language models (LLMs) in subjective tasks, such as creative content generation and evaluation. I also work on building robust evaluation method that involves LLM-as-a-Judge. More about my research experiences and projects can be found in my cv. Feel free to reach out for collaboration!
Aside from NLP, I am also a cat person.
Recent Updates
- 10/2025: Please check out our latest work, CreativityPrism: A Holistic Benchmark for Large Language Model Creativity!
- 08/2025: Our recent work, Leveraging Large Models for Evaluating Novel Content: A Case Study on Advertisement Creativity, is accepted as a main conference paper at EMNLP 2025!
- 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.