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.
This gap is mainly responsible for the performance drop from AR to NAR models
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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.