D5P4 enables discrete diffusion models to generate diverse text outputs efficiently by using a principled diversity mechanism during decoding, with minimal computational overhead compared to standard approaches.
This paper improves how discrete diffusion models generate text by introducing D5P4, a new decoding method that generates multiple candidate outputs in parallel while controlling diversity.