Sequence-to-Sequence Text Generation with Discrete Diffusion Models
Diffusion language models are currently the most promising language models among non-autoregressive models, and are expected to replace autoregressive language models, which suffer from slow inference speed, to achieve efficient and quality-preserving text generation. Sequence-to-sequence （Seq2Seq）...
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| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2025-03-01
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| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2405063.pdf |
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