Large language models (LLMs) are increasingly integrated into educational settings, yet educators lack robust, standards-aligned tools to evaluate their effectiveness in K-12 science contexts. Existing benchmarks predominantly assess general language or advanced scientific reasoning, leaving a critical gap in understan...
Noah L. Schroeder, Yessy Eka Ambarwati, Yu-Ji Zhang et al.· 0 citations
The results reveal a pattern distinct from prior findings on long-tail vulnerability during acquisition and retention: among facts that models already answer correctly, those associated with highly connected entities are more likely to be corrupted by neighboring updates, and updates to such facts propagate errors more...
Yu-Ji Zhang, Wei-Bing Wang, Cheng Qian et al.· 0 citations
VGI-bench is introduced, containing 27 tasks and 810 instances, organized by a two-level taxonomy of task domains and skill tags for fine-grained evaluation of visual reasoning capabilities of video generation models, and it is hoped VGI-bench will help stimulate the development of next-generation video generation mode...
Xuan He, Cong Wei, Yuhao Cheng et al.· 1 citation
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