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Found 4 papers, 2 papers with code
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
As it is challenging to remove such data and retrain the models, methods for erasing specific concepts from pre-trained models have been investigated.
Application of frozen large-scale models to multimodal task-oriented dialogue
In this study, we use the existing Large Language Models ENnhanced to See Framework (LENS Framework) to test the feasibility of multimodal task-oriented dialogues.
ResBit: Residual Bit Vector for Categorical Values
One-hot vectors, a method for representing discrete/categorical data, are commonly used in machine learning due to their simplicity and intuitiveness.
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