Published several papers including 'PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models' (ACL, 2024) and 'Reconstruct Before Summarize: An Efficient Two-Step Framework for Condensing and Summarizing Meeting Transcripts' (EMNLP 2023).
Research Experience
Currently a research intern at Noah's Ark Lab under the supervision of Zhijiang Guo. Before joining Prof. Song's team, worked as a research assistant under Dr. Bernard Chiu.
Education
PhD student in the Computer Science Department of City University of Hong Kong, supervised by Prof. Linqi Song. Advised by Prof. Cong Fan at UESTC during undergraduate years.
Background
Interested in natural language processing, deep learning, and generative AI. Research focuses on sentence representation, lengthy sequence compression, long-form generation, and evaluation.
Miscellany
Served as a reviewer for ACL 2024, EMNLP 2023, and ACL 2023.