About me

NEWS! Our work “AlpaCare: Instruction-tuned Large Language Models for Medical Application” has been released on arxiv. Check out the paper, code!

NEWS! Our work “Guiding Large Language Models via Directional Stimulus Prompting” has been accepted to NeurIPS 2023. Check out the paper, code, and media coverage!

NEWS! Our work “Time Series as Images: Vision Transformer for Irregularly Sampled Time Series” has been accepted to NeurIPS 2023. Check out the paper, and code.

NEWS! Our work “ChatEdit: Towards Multi-turn Interactive Facial Image Editing via Dialogue” has been accepted to EMNLP 2023 Main Conference. Check out the paper and data and code!

NEWS! Our work “Controllable Dialogue Simulation with In-Context Learning” has been accepted to EMNLP 2022 Findings. Check out the paper, and code.

Welcome to my homepage! I am Zekun Li, a third-year PhD student at UC Santa Barbara. My current research interests lie in NLP, dialogue systems, large language models, and AI for Health. Before that, I worked on graph mining and recommender systems.