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Self-training with Two-phase Self-augmentation for Few-shot Dialogue
  Generation

Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation

19 May 2022
Wanyu Du
Hanjie Chen
Yangfeng Ji
ArXivPDFHTML

Papers citing "Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation"

4 / 4 papers shown
Title
Controllable Generation of Dialogue Acts for Dialogue Systems via
  Few-Shot Response Generation and Ranking
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking
Angela Ramirez
Karik Agarwal
Juraj Juraska
Utkarsh Garg
M. Walker
35
5
0
26 Jul 2023
Improving Zero and Few-Shot Abstractive Summarization with Intermediate
  Fine-tuning and Data Augmentation
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation
Alexander R. Fabbri
Simeng Han
Haoyuan Li
Haoran Li
Marjan Ghazvininejad
Shafiq R. Joty
Dragomir R. Radev
Yashar Mehdad
123
95
0
24 Oct 2020
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
244
269
0
30 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1