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Investigating the Robustness of Natural Language Generation from Logical
  Forms via Counterfactual Samples

Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples

16 October 2022
Chengyuan Liu
Leilei Gan
Kun Kuang
Fei Wu
ArXivPDFHTML

Papers citing "Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples"

2 / 2 papers shown
Title
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq R. Joty
S. Hoi
210
1,489
0
02 Sep 2021
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Counterfactual Samples Synthesizing for Robust Visual Question Answering
Long Chen
Xin Yan
Jun Xiao
Hanwang Zhang
Shiliang Pu
Yueting Zhuang
OOD
AAML
142
290
0
14 Mar 2020
1