23 citations · 57 across the 6 of their papers we have counts for
4 papers · 1 filter
PARAGEN : A Parallel Generation Toolkit
Jiangtao Feng, Yi Zhou, Jun Zhang +7
PARAGEN is a PyTorch-based NLP toolkit for further development on parallel generation. PARAGEN provides thirteen types of customizable plugins, helping users to experiment quickly…
On the Learning of Non-Autoregressive Transformers
Fei Huang, Tianhua Tao, Hao Zhou +2
Non-autoregressive Transformer (NAT) is a family of text generation models, which aims to reduce the decoding latency by predicting the whole sentences in parallel. However, such l…
Enhancing Cross-lingual Transfer by Manifold Mixup
Huiyun Yang, Huadong Chen, Hao Zhou +1
Based on large-scale pre-trained multilingual representations, recent cross-lingual transfer methods have achieved impressive transfer performances. However, the performance of tar…
-GLAT: Glancing at Latent Variables for Parallel Text Generation
Yu Bao, Hao Zhou, Shujian Huang +5
Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…