One of the core ideas behind LLMs is that language is not a discrete space, but instead a multidimensional vector field where you can easily interpolate as needed. It's one of the reasons LLMs readily make up words that don't exist when translating text for example.

Not the input and output though, which is the important part for flow matching modeling. Unless you're proposing flow matching over the latent space?