Abstract: Vector quantized variational autoencoders, as variants of variational autoencoders, effectively capture discrete representations by quantizing continuous latent spaces and are widely used in ...
Current methods for personality control in LLMs rely on static prompting or expensive fine-tuning, failing to capture the dynamic, compositional nature of human traits. PERSONA is a training-free ...
Abstract: Mixed-precision computation, which uses multiple different precision in a single code, is being studied to increase computational speed and energy efficiency. It typically uses the IEEE ...
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