3 citations · 8 across the 10 of their papers we have counts for
11 papers
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…
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…
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…
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…
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…
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…
RoR: Read-over-Read for Long Document Machine Reading Comprehension
Jing Zhao, Junwei Bao, Yifan Wang +4
Transformer-based pre-trained models, such as BERT, have achieved remarkable results on machine reading comprehension. However, due to the constraint of encoding length (e.g., 512…
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce
Jiahui Liang, Junwei Bao, Yifan Wang +3
Product summarization aims to automatically generate product descriptions, which is of great commercial potential. Considering the customer preferences on different product aspects…
Enhanced Error Estimates for Augmented Subspace Method
Haikun Dang, Yifan Wang, Hehu Xie +1
In this paper, some enhanced error estimates are derived for the augmented subspace methods which are designed for solving eigenvalue problems. We will show that the augmented subs…
SGG: Learning to Select, Guide, and Generate for Keyphrase Generation
Jing Zhao, Junwei Bao, Yifan Wang +3
Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absen…
Dual Principal Component Pursuit: Probability Analysis and Efficient Algorithms
Zhihui Zhu, Yifan Wang, Daniel P. Robinson +3
Recent methods for learning a linear subspace from data corrupted by outliers are based on convex and nuclear norm optimization and require the dimension of the subspace a…