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20212024
most citedNon-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision

23 citations · 57 across the 6 of their papers we have counts for

collaborators

6 papers

hep-ex2024★ 4 cited

Observation of electroweak production of in association with jets in proton-proton collisions at TeV with the ATLAS Detector

ATLAS Collaboration

A measurement of the production of bosons with opposite electric charges in association with two jets is presented based on 140 fb of data collected by the ATLAS detecto…

cs.CL2022★ 1 cited

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…

cs.CL2022★ 5 cited

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…

cs.CL2022★ 23 cited

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…

cs.CL2022★ 1 cited

-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…

cs.CL2021★ 23 cited

Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision

Chenyang Huang, Hao Zhou, Osmar R. Zaïane +2

How do we perform efficient inference while retaining high translation quality? Existing neural machine translation models, such as Transformer, achieve high performance, but they…