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#artificial intelligence Preprint Aug 2026

Multi2AV-Safety: Benchmarking Safety in Multimodal-to-Audio-Video Generation

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
Review Open access Aug 2026

A Comparative Survey of Security Risks in AI Systems: From LLMs to AI Agents and Embodied Agents

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.

Bai-Qi Wu, Qing-Ming Li, Chun-Yi Zhou et al. · 3 citations
#artificial intelligence Preprint Sep 2026

Learn from Whoever Is Right: Answer-Verified Multi-Teacher Distillation for Multi-Domain LLMs

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.

Xi-Xiang He, Xing-Ming Li, Bai-Qi Wu et al. · 5 citations · ⚡1

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