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REFER: An End-to-end Rationale Extraction Framework for Explanation
  Regularization

REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization

22 October 2023
Mohammad Reza Ghasemi Madani
Pasquale Minervini
ArXivPDFHTML

Papers citing "REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization"

4 / 4 papers shown
Title
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
274
170
0
24 Oct 2020
Linguistically-Informed Transformations (LIT): A Method for
  Automatically Generating Contrast Sets
Linguistically-Informed Transformations (LIT): A Method for Automatically Generating Contrast Sets
Chuanrong Li
Lin Shengshuo
Leo Z. Liu
Xinyi Wu
Xuhui Zhou
Shane Steinert-Threlkeld
VLM
128
38
0
16 Oct 2020
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
252
618
0
04 Dec 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
225
3,658
0
28 Feb 2017
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