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Pattern-Aware Chain-of-Thought Prompting in Large Language Models
In this paper, we propose Pattern-Aware CoT, a prompting method that considers the diversity of demonstration patterns.
PFDM: Parser-Free Virtual Try-on via Diffusion Model
Virtual try-on can significantly improve the garment shopping experiences in both online and in-store scenarios, attracting broad interest in computer vision.
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