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Video-OPSD reveals that focusing on privileged visual evidence can drastically improve the efficiency and effectiveness of self-distillation in Video-LLMs.
ARENA uncovers vulnerabilities in large audio-language models that traditional text-based red-teaming methods miss, achieving near-perfect safety metrics across multiple systems.
Forget disjointed approaches: OneHOI's unified diffusion transformer generates and edits human-object interactions with unprecedented control and realism.
MLLMs are more vulnerable than we thought: imperceptible visual prompts can effectively hijack their behavior.
