On the other hands, VAE-based models with the input of sequences usually adopt RNNs as encoders or decoders.
latent variable collapse (i.e., the latent variable collapses to obey the distribution of the prior) makes the sequential VAE to generate texts without information of latent code so that the latent code cannot have enough information of text features.