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University of Science and Technology of China
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BSB reveals that leveraging temporal consistency can dramatically enhance the effectiveness of jailbreak attacks on text-to-video models, achieving unprecedented success rates.
Pruned LLMs can ace multiple-choice tests while failing to generate correct answers, revealing a critical evaluation blind spot in model assessment.
Stop blindly retrieving external knowledge for multimodal NER: SAKE adaptively decides when to search, boosting accuracy by avoiding noisy information and hallucinations.
