30 citations · 78 across the 8 of their papers we have counts for
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cs.CL2023★ 1 cited
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye, Zaixiang Zheng, Yu Bao +2
The recent surge of generative AI has been fueled by the generative power of diffusion probabilistic models and the scalable capabilities of large language models. Despite their po…
cs.CL2023
Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation
Min Liu, Yu Bao, Chengqi Zhao +1
Benefiting from the sequence-level knowledge distillation, the Non-Autoregressive Transformer (NAT) achieves great success in neural machine translation tasks. However, existing kn…
cs.CL2023★ 9 cited
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
Jiasheng Ye, Zaixiang Zheng, Yu Bao +2
While diffusion models have achieved great success in generating continuous signals such as images and audio, it remains elusive for diffusion models in learning discrete sequence…