DiffuSeq adapts diffusion models to conditional sequence-to-sequence text generation and reports performance matching or exceeding strong baselines including pretrained language model systems while generating more diverse outputs.
For other baselines, there is no explicit factor to control the diversity generation, so we leave them as single points in the figure
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DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
DiffuSeq adapts diffusion models to conditional sequence-to-sequence text generation and reports performance matching or exceeding strong baselines including pretrained language model systems while generating more diverse outputs.