StemBind reframes AVR evaluation from final-answer ranking to locating where abstract visual reasoning breaks down, identifying rule-to-instance binding as a concrete next target for vision-grounded reasoning.
Xi-Xiang He, Bai-Qi Wu, Xing-Ming Li et al.· arXiv.org· 0 citations
Recent audio-video generators increasingly support joint conditioning on text, images, audio, and video. These capabilities also enable attacks that exploit cross-modal interactions or obscure harmful intent to bypass safeguards and induce harmful audio-video outputs. However, existing generation-safety benchmarks have...
Kai Jiang, Changtao Miao, Bai-Qi Wu et al.· 0 citations
This work presents a unified comparison of large language models, AI agents, and embodied agents, introducing a taxonomy of risks spanning data, models, systems, content, and applications, alongside a catalog of 24 specific threats.
Multi-Teacher Self-Distillation Policy Optimization is introduced, an on-policy distillation method that unifies several frozen teachers into one student model and lifts the weakest domain of Qwen3-8B by 14.79 points and narrows its domain gap by 74.7%, a better balance than serving one matched teacher per domain.