Publications: 1. HoneyComb: A Flexible LLM-Based Agent System for Materials Science, accepted by EMNLP 2024; 2. HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science, accepted by Findings of EMNLP 2023; 3. Emooly, accepted by IMWUT 2024; 4. Eggly, accepted by IMWUT 2023.
Research Experience
Current research mainly focuses on AI4Matsci, cooperating with Intel AI Lab. Previous research projects include Emooly, HoneyComb, HoneyBee, etc.
Education
Bachelor's Degree: University of Waterloo - Cheriton School of Computer Science (Graduated 2023); Ph.D.: Mila - Quebec AI Institute and Université de Montréal (Ongoing), Advisor: Prof. Bang Liu.
Background
Research Interests: Large Language Model (LLM), AI4Sci, Human-Centered NLP, Generative Models. Brief Introduction: Currently a first-year Ph.D. student at Mila - Quebec AI Institute and Université de Montréal, working with Prof. Bang Liu in the domain of Natural Language Processing. Research goal is to understand human communication in social contexts and develop human-centered AI technologies to enhance collaboration between humans and AI, as well as improve human-computer interactions.
Miscellany
Personal Interests: Hiking, photography, reading, collecting all kinds of adorable Jellycat toys. Amateur photographer and painter, studied art since the age of eight.