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20202022
most citedTailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

20 citations · 44 across the 9 of their papers we have counts for

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12 papers · 1 filter

cs.CL20221 cited

Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation

Chen Wang, Yuchen Liu, Boxing Chen +4

End-to-end Speech Translation (ST) aims at translating the source language speech into target language text without generating the intermediate transcriptions. However, the trainin…

cs.CL20225 cited

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

Dexin Wang, Kai Fan, Boxing Chen +1

k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently proposed as a non-parametric solution for domain adaptation in neural machine translation (NMT). It aims to allevi…

cs.CL202220 cited

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation

Kexin Yang, Dayiheng Liu, Wenqiang Lei +4

Attribute-based Controlled Text Generation (CTG) refers to generating sentences that satisfy desirable attributes (e.g., emotions and topics). Existing works often utilize fine-tun…

cs.CL20227 cited

RoBLEURT Submission for the WMT2021 Metrics Task

Yu Wan, Dayiheng Liu, Baosong Yang +6

In this paper, we present our submission to Shared Metrics Task: RoBLEURT (Robustly Optimizing the training of BLEURT). After investigating the recent advances of trainable metrics…

cs.CL2021

Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables

Weizhi Wang, Zhirui Zhang, Yichao Du +3

Zero-shot translation, directly translating between language pairs unseen in training, is a promising capability of multilingual neural machine translation (NMT). However, it usual…

cs.CL20213 cited

G-Transformer for Document-level Machine Translation

Guangsheng Bao, Yue Zhang, Zhiyang Teng +2

Document-level MT models are still far from satisfactory. Existing work extend translation unit from single sentence to multiple sentences. However, study shows that when we furthe…