activity
20182023
most citedQA4IE: A Question Answering based Framework for Information Extraction

20 citations · 59 across the 7 of their papers we have counts for

collaborators

7 papers

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★ 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…

cs.CL2022★ 2 cited

Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning

Lihua Qian, Mingxuan Wang, Yang Liu +1

Previously, non-autoregressive models were widely perceived as being superior in generation efficiency but inferior in generation quality due to the difficulties of modeling multip…

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★ 6 cited

The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21

Lihua Qian, Yi Zhou, Zaixiang Zheng +7

This paper describes the Volctrans' submission to the WMT21 news translation shared task for German->English translation. We build a parallel (i.e., non-autoregressive) translation…

cs.CL2020★ 20 cited

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Lihua Qian, Hao Zhou, Yu Bao +5

Recent work on non-autoregressive neural machine translation (NAT) aims at improving the efficiency by parallel decoding without sacrificing the quality. However, existing NAT meth…

cs.IR2018★ 20 cited

QA4IE: A Question Answering based Framework for Information Extraction

Lin Qiu, Hao Zhou, Yanru Qu +7

Information Extraction (IE) refers to automatically extracting structured relation tuples from unstructured texts. Common IE solutions, including Relation Extraction (RE) and open…