How to Generate Text in One Step

Researchers developed Flow Map Language Models that enable one-step parallel text generation using continuous flows instead of discrete diffusion. By representing tokens as one-hot vectors in continuous space and learning velocity fields that preserve token correlations, they achieve 8x speedup over discrete baselines while maintaining high text quality through a classification-based denoiser approach.