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20182022
most citedControlling Styles in Neural Machine Translation with Activation Prompt

3 citations · 8 across the 10 of their papers we have counts for

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6 papers · 1 filter

cs.CL2022★ 3 cited

Controlling Styles in Neural Machine Translation with Activation Prompt

Yifan Wang, Zewei Sun, Shanbo Cheng +2

Controlling styles in neural machine translation (NMT) has attracted wide attention, as it is crucial for enhancing user experience. Earlier studies on this topic typically concent…

cs.CL2022

PLM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training

Junwei Bao, Yifan Wang, Jiangyong Ying +4

Conventional autoregressive left-to-right (L2R) sequence generation faces two issues during decoding: limited to unidirectional target sequence modeling, and constrained on strong…

cs.CL2022

OPERA:Operation-Pivoted Discrete Reasoning over Text

Yongwei Zhou, Junwei Bao, Chaoqun Duan +7

Machine reading comprehension (MRC) that requires discrete reasoning involving symbolic operations, e.g., addition, sorting, and counting, is a challenging task. According to this…

cs.IR2022★ 2 cited

LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval

Yifan Wang, Haodi Ma, Daisy Zhe Wang

Many recent approaches of passage retrieval are using dense embeddings generated from deep neural models, called "dense passage retrieval". The state-of-the-art end-to-end dense pa…

cs.DB2022

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings

Yifan Wang

Similarity query is the family of queries based on some similarity metrics. Unlike the traditional database queries which are mostly based on value equality, similarity queries aim…

cs.CL2022

Fine- and Coarse-Granularity Hybrid Self-Attention for Efficient BERT

Jing Zhao, Yifan Wang, Junwei Bao +2

Transformer-based pre-trained models, such as BERT, have shown extraordinary success in achieving state-of-the-art results in many natural language processing applications. However…