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pro vyhledávání: '"Shams, Md Montasir Bin"'
Utilizing a shared embedding space, emerging multimodal models exhibit unprecedented zero-shot capabilities. However, the shared embedding space could lead to new vulnerabilities if different modalities can be misaligned. In this paper, we extend and
Externí odkaz:
http://arxiv.org/abs/2407.01157
Transformer-based models have dominated natural language processing and other areas in the last few years due to their superior (zero-shot) performance on benchmark datasets. However, these models are poorly understood due to their complexity and siz
Externí odkaz:
http://arxiv.org/abs/2402.08473
Pre-trained large foundation models play a central role in the recent surge of artificial intelligence, resulting in fine-tuned models with remarkable abilities when measured on benchmark datasets, standard exams, and applications. Due to their inher
Externí odkaz:
http://arxiv.org/abs/2401.15568