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2011.03877
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Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data
8 November 2020
A. Arun
Soumya Batra
Vikas Bhardwaj
Ashwini Challa
Pinar E. Donmez
Peyman Heidari
Hakan Inan
Shashank Jain
Anuj Kumar
Shawn Mei
Karthika Mohan
Michael White
Re-assign community
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Papers citing
"Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data"
3 / 3 papers shown
Title
TaTa: A Multilingual Table-to-Text Dataset for African Languages
Sebastian Gehrmann
Sebastian Ruder
Vitaly Nikolaev
Jan A. Botha
Michael Chavinda
Ankur P. Parikh
Clara E. Rivera
LMTD
40
10
0
31 Oct 2022
Faithfulness in Natural Language Generation: A Systematic Survey of Analysis, Evaluation and Optimization Methods
Wei Li
Wenhao Wu
Moye Chen
Jiachen Liu
Xinyan Xiao
Hua Wu
HILM
29
27
0
10 Mar 2022
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
270
0
30 Sep 2019
1