Author

Dichen Wang

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Review Open access Jul 2026

Understanding the role of large language models in supporting mathematics education

Large Language Models (LLMs) are redefining mathematics education, including not only student-facing tutors but also educator-centered tools that automate instructional tasks and support professional development. This systematic review synthesizes findings from 131 empirical and technical studies published between Janu...

Henry P. Y. Tsang, Dichen Wang, L. Yu · Research and Practice in Tec... · 0 citations

#machine learning Preprint Aug 2026

MemCatalyst: Amplifying Data Auditing on Vision-Language Models via Data Poisoning

This work proposes MemCatalyst, a set of data poisoning tools, aiming to amplify the data auditing performance on VLMs, and forces VLMs to over-learn specific inconsistencies between image features and textual semantics during training, thereby increasing their susceptibility to membership information auditing.

Xukun Luan, Jinyan Liu, Yuhui Gong et al. · 0 citations