A Significantly More Generalized Approach Replacing Discrete Latent Variables With Natural Language Conditioning Via A Textconditioned Variational Autoencoder Vae

“We propose a significantly more generalized approach, replacing discrete latent variables with natural language conditioning via a text-conditioned Variational Autoencoder (VAE). Our core innovation utilizes a Large Language Model (LLM) as a dynamic \textit{semantic operator} at test time.”