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Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models
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.
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers
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.
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