6 citations · 6 across the 5 of their papers we have counts for
6 papers
Measuring the Professional Educational Competence of Foundation Models
Keqian Li, Mingzi Zhang, Xiaolong Wang +1
Foundation models tutor, assess, and instruct at population scale, requiring externally defined measures of educational competence. Existing benchmarks emphasize difficult academic…
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…
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…
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…
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…
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…