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2402.08479
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Plausible Extractive Rationalization through Semi-Supervised Entailment Signal
13 February 2024
Yeo Wei Jie
Ranjan Satapathy
Min Zhang
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Papers citing
"Plausible Extractive Rationalization through Semi-Supervised Entailment Signal"
18 / 18 papers shown
Title
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Wei-Lin Chen
An-Zi Yen
Cheng-Kuang Wu
Hen-Hsen Huang
Hsin-Hsi Chen
ReLM
LRM
40
11
0
12 May 2023
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning
O. Yu. Golovneva
Moya Chen
Spencer Poff
Martin Corredor
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
ReLM
LRM
82
148
0
15 Dec 2022
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban
Tobias Schnabel
Paul N. Bennett
Marti A. Hearst
HILM
92
393
0
18 Nov 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
G. Chrysostomou
Nikolaos Aletras
62
18
0
31 Aug 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification
G. Chrysostomou
Nikolaos Aletras
66
38
0
06 May 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
Kushal Lakhotia
Bhargavi Paranjape
Asish Ghoshal
Wen-tau Yih
Yashar Mehdad
Srini Iyer
36
28
0
31 Dec 2020
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision
Max Glockner
Ivan Habernal
Iryna Gurevych
LRM
74
26
0
07 Oct 2020
Why Attentions May Not Be Interpretable?
Bing Bai
Jian Liang
Guanhua Zhang
Hao Li
Kun Bai
Fei Wang
FAtt
43
60
0
10 Jun 2020
An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction
Bhargavi Paranjape
Mandar Joshi
John Thickstun
Hannaneh Hajishirzi
Luke Zettlemoyer
57
101
0
01 May 2020
Evaluating the Factual Consistency of Abstractive Text Summarization
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
HILM
101
743
0
28 Oct 2019
Attention is not not Explanation
Sarah Wiegreffe
Yuval Pinter
XAI
AAML
FAtt
112
909
0
13 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
538
24,422
0
26 Jul 2019
Is Attention Interpretable?
Sofia Serrano
Noah A. Smith
101
683
0
09 Jun 2019
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Kenton Lee
Ming-Wei Chang
Tom Kwiatkowski
Michael Collins
Kristina Toutanova
210
1,516
0
24 May 2019
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
126
1,323
0
26 Feb 2019
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
121
1,646
0
14 Mar 2018
A Unified Approach to Interpreting Model Predictions
Scott M. Lundberg
Su-In Lee
FAtt
1.1K
21,815
0
22 May 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.1K
16,931
0
16 Feb 2016
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