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
May 2026 ImplicitMemBench has been selected for an Oral Presentation at ACL 2026 Main Conference in the Resources and Evaluation track. See you all in San Diego.
May 2026 We introduced The Granularity Axis, an attempt to find the hidden micro-to-macro slider behind how LLMs reason as individuals, institutions, and nations.
Apr 2026 ImplicitMemBench was accepted to ACL 2026 Main Conference, and SAVOIR was accepted to ACL 2026 Findings. Thanks again to all collaborators!
Jan 2026 We released MMFineReason, taking a data-centric route to improve multimodal reasoning: our 4B VLM reaches 30B-level performance. The corresponding reasoning dataset MMFineReason-1.8M reached #2 on HuggingFace Datasets Trending with 25k+ downloads shortly after release.
Jan 2026 We introduced SciGenBench and ImgCoder, aiming to make scientific image synthesis focus more on structure, precision, and actual reasoning.
Nov 2025 We placed #4 in DCVLR, a vision-language reasoning competition at the NeurIPS 2025 Workshop.
Publications
Most recent publications on Google Scholar.
† indicates equal contribution.
The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
Chonghan Qin, Xiachong Feng, Ziyun Song, Xiaocheng Feng, Jing Xiong, Lingpeng Kong
ImplicitMemBench: A Comprehensive Benchmark for Evaluating Implicit Memory in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong
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
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
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
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
The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models
Chonghan Qin, Xiachong Feng, Ziyun Song, Xiaocheng Feng, Jing Xiong, Lingpeng Kong
ImplicitMemBench: A Comprehensive Benchmark for Evaluating Implicit Memory in Large Language Models
Chonghan Qin, Xiachong Feng, Weitao Ma, Xiaocheng Feng, Lingpeng Kong
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
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
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
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
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
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