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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"

12 / 12 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
134
1
0
04 May 2025
Towards Faithful Explanations: Boosting Rationalization with Shortcuts
  Discovery
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Linan Yue
Qi Liu
Yichao Du
Li Wang
Weibo Gao
Yanqing An
32
5
0
12 Mar 2024
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
13
1
0
22 May 2023
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
26
46
0
17 May 2023
Exploring Faithful Rationale for Multi-hop Fact Verification via
  Salience-Aware Graph Learning
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning
Jiasheng Si
Yingjie Zhu
Deyu Zhou
29
12
0
02 Dec 2022
Can Rationalization Improve Robustness?
Can Rationalization Improve Robustness?
Howard Chen
Jacqueline He
Karthik Narasimhan
Danqi Chen
AAML
23
40
0
25 Apr 2022
What to Learn, and How: Toward Effective Learning from Rationales
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
32
22
0
30 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
18
41
0
26 Oct 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
25
35
0
25 Jun 2021
Local Interpretations for Explainable Natural Language Processing: A
  Survey
Local Interpretations for Explainable Natural Language Processing: A Survey
Siwen Luo
Hamish Ivison
S. Han
Josiah Poon
MILM
33
48
0
20 Mar 2021
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
255
620
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
200
296
0
15 Oct 2012
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