Core Concepts
VOLTA introduces a novel framework that enhances generative diversity in natural language generation by combining Transformer models with VAE and InfoGAN, improving quality while maintaining diversity.
Stats
"Our model utilizes a default configuration comprising 32 Gaussian latent variables, along with 4 uniform latent codes."
"The VAE components in VOLTA add a mere 0.46M parameters."