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Found 2 papers, 1 papers with code
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
Current text-to-image diffusion models have achieved groundbreaking results in image generation tasks.
Exploring Diverse In-Context Configurations for Image Captioning
After discovering that Language Models (LMs) can be good in-context few-shot learners, numerous strategies have been proposed to optimize in-context sequence configurations.
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