collaborators

5 papers

cs.AI2026

Edu-MMBias: A Three-Tier Multimodal Benchmark for Auditing Social Bias in Vision-Language Models under Educational Contexts

Ruijia Li, Mingzi Zhang, Zengyi Yu +2

As Vision-Language Models (VLMs) become integral to educational decision-making, ensuring their fairness is paramount. However, current text-centric evaluations neglect the visual…

cs.CY2026

EduIllustrate: Towards Scalable Automated Generation Of Multimodal Educational Content

Shuzhen Bi, Mingzi Zhang, Zhuoxuan Li +3

Large language models are increasingly used as educational assistants, yet evaluation of their educational capabilities remains concentrated on question-answering and tutoring task…

cs.CL2025

EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers

Yilin Jiang, Mingzi Zhang, Xuanyu Yin +5

Large Language Models for Simulating Professions (SP-LLMs), particularly as teachers, are pivotal for personalized education. However, ensuring their professional competence and et…

cs.CL2025

EMNLP: Educator-role Moral and Normative Large Language Models Profiling

Yilin Jiang, Mingzi Zhang, Sheng Jin +3

Simulating Professions (SP) enables Large Language Models (LLMs) to emulate professional roles. However, comprehensive psychological and ethical evaluation in these contexts remain…

cs.HC2025

ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities

Chanjin Zheng, Zengyi Yu, Yilin Jiang +4

Can Multimodal Large Language Models (MLLMs), with capabilities in perception, recognition, understanding, and reasoning, function as independent assistants in art evaluation dialo…