Chonghan Qin
B.Eng. Student [AT] HKU
qinchonghanzuibang [AT] gmail [DOT] com
Bio
I am an undergraduate student in the School of Computing and Data Science at The University of Hong Kong (HKU). I am fortunate to work with the HKUNLP group, advised by Prof. Lingpeng Kong and Dr. Xiachong Feng. I previously spent time as an exchange student at the University of California, Berkeley in both Summer 2023 and Fall 2024. I am also a research intern at the Shanghai Artificial Intelligence Laboratory, where I am advised by Dr. Lijun Wu.
I study (Multimodal) Large Language Models.
Publications
‡ indicates equal contribution.ImplicitMemBench: A Comprehensive Benchmark for Evaluating Implicit Memory in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong
Annual Conference of the Association for Computational Linguistics (ACL) 2026, under review
ImplicitMemBench: A Comprehensive Benchmark for Evaluating Implicit Memory in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong
Annual Conference of the Association for Computational Linguistics (ACL) 2026, under review
A Hierarchical Filtering Framework for Curating High-Quality Visual Instruction Data
Yun Zhu, Honglin Lin, Yu Li, Chonghan Qin, Zheng Liu, Xiaoyang Wang, Lijun Wu
Technical Report, NeurIPS Workshop 2025
Vitæ
-
Shanghai Artificial Intelligence Lab 2025 June - nowResearch Intern
OpenDataLab -
The University of Hong Kong 2024 Oct. - nowResearch Intern
HKUNLP Group -
Fudan University 2024 July - 2024 Dec.Research Intern
Intelligent Medicine Institute -
University of California, Berkeley 2023 Su, 2024 FaExchange Student
Electronic Engineering and Computer Science -
The University of Hong Kong 2022 Sept. - 2026 MayB.Eng. Student
Computer Science