Chonghan Qin
秦崇瀚
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.
News
Jan 2026 MMFineReason has been released. Our work shows that a 4B model can achieve performance comparable to 30B models. The reasoning dataset MMFineReason-1.8M is also available and ranked Top 2 on HuggingFace Datasets Trending.
Jan 2026 We introduce SciGenBench and ImgCoder for scientific image synthesis, aiming to improve structural precision and reasoning in scientific visual tasks.
Nov 2025 We ranked 4th in DCVLR (NeurIPS 2025 Workshop), a vision-language reasoning competition.
Publications
Most recent publications on Google Scholar.
† 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
Under review, ACL 2026
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
Honglin Lin†, Chonghan Qin†, Zheng Liu, Qizhi Pei, Yu Li, Zhanping Zhong, Xin Gao, Yanfeng Wang, Conghui He, Lijun Wu
arXiv, 2026
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Honglin Lin†, Zheng liu† Yun Zhu†, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang,Lijun Wu
arXiv, 2026
ImplicitMemBench: A Comprehensive Benchmark for Evaluating Implicit Memory in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong
Under review, ACL 2026
SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
Xiachong Feng, Yi Jiang, Xiaocheng Feng, Deyi Yin, Libo Qin, Yangfan Ye, Lei Huang, Weitao Ma, Yuxuan Gu, Chonghan Qin, Bing Qin, Lingpeng Kong
Under review, ACL 2026
Scientific Image Synthesis: Benchmarking, Methodologies, and Downstream Utility
Honglin Lin†, Chonghan Qin†, Zheng Liu, Qizhi Pei, Yu Li, Zhanping Zhong, Xin Gao, Yanfeng Wang, Conghui He, Lijun Wu
arXiv, 2026
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthsis from Scratch
Zheng Liu†, Honglin Lin†, Chonghan Qin, Xiaoyang Wang, Xin Gao, Yu Li, Mengzhang Cai, Yun Zhu, Zhanping Zhong, Qizhi Pei, Zhuoshi Pan, Xiaoran Shang, Bin Cui, Conghui He, Wentao Zhang, Lijun Wu
arXiv, 2026
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Honglin Lin†, Zheng liu† Yun Zhu†, Chonghan Qin, Juekai Lin, Xiaoran Shang, Conghui He, Wentao Zhang,Lijun Wu
arXiv, 2026
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
Service
Teaching:
The University of Hong Kong
2025-2026 AILT1001: Artificial Intelligence Literacy I, Lead Student Teaching Assistant
2024 SCDS1001: Artificial Intelligence Literacy I, Student Teaching Assistant
Academic Advising:
The University of Hong Kong
2025-2026 Class of 2029, School of Computing and Data Science, around 20 students
2024 Class of 2028, Department of Computer Science, around 15 students
Journal Reviewer:
- IEEE Transactions on Big Data: 2025
Vitæ
-
Shanghai Artificial Intelligence Lab 2025 June - nowResearch Intern
OpenDataLab -
The University of Hong Kong 2024 Oct. - nowStudent Research Assistant
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