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Decoding and Diversity in Machine Translation

Decoding and Diversity in Machine Translation

26 November 2020
Nicholas Roberts
Davis Liang
Graham Neubig
Zachary Chase Lipton
ArXivPDFHTML

Papers citing "Decoding and Diversity in Machine Translation"

4 / 4 papers shown
Title
Learning Evaluation Models from Large Language Models for Sequence Generation
Learning Evaluation Models from Large Language Models for Sequence Generation
Chenglong Wang
Hang Zhou
Kai-Chun Chang
Tongran Liu
Chunliang Zhang
Quan Du
Tong Xiao
Yue Zhang
Jingbo Zhu
ELM
46
3
0
08 Aug 2023
A Systematic Study of Knowledge Distillation for Natural Language
  Generation with Pseudo-Target Training
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target Training
Nitay Calderon
Subhabrata Mukherjee
Roi Reichart
Amir Kantor
44
17
0
03 May 2023
Exploring Diversity in Back Translation for Low-Resource Machine
  Translation
Exploring Diversity in Back Translation for Low-Resource Machine Translation
Laurie Burchell
Alexandra Birch
Kenneth Heafield
31
15
0
01 Jun 2022
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as
  Sequences of Graph Edits
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits
Mikolaj Sacha
Mikolaj Blaz
Piotr Byrski
Paweł Dąbrowski-Tumański
Mikołaj Chromiński
Rafał Loska
Pawel Wlodarczyk-Pruszynski
Stanislaw Jastrzebski
GNN
32
142
0
27 Jun 2020
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