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Learning from the Best: Rationalizing Prediction by Adversarial
  Information Calibration

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration

16 December 2020
Lei Sha
Oana-Maria Camburu
Thomas Lukasiewicz
ArXivPDFHTML

Papers citing "Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration"

4 / 4 papers shown
Title
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets
W. Liu
Zhongyu Niu
Lang Gao
Zhiying Deng
Jun Wang
H. Wang
Ruixuan Li
41
1
0
04 May 2025
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
7
46
0
17 May 2023
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
249
618
0
04 Dec 2018
Learning Attitudes and Attributes from Multi-Aspect Reviews
Learning Attitudes and Attributes from Multi-Aspect Reviews
Julian McAuley
J. Leskovec
Dan Jurafsky
183
292
0
15 Oct 2012
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