MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education
MUSE decouples image annotation from question generation, enabling diverse tasks with controllable difficulty while reducing annotation effort, and it is hoped MUSE will serve as a standardized benchmark for advancing multi-modal understanding in situated educational applications.
Lu-Yao Zhu, X. Yee, Wei Li et al.
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