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Connecting Attributions and QA Model Behavior on Realistic
  Counterfactuals

Connecting Attributions and QA Model Behavior on Realistic Counterfactuals

9 April 2021
Xi Ye
Rohan Nair
Greg Durrett
ArXivPDFHTML

Papers citing "Connecting Attributions and QA Model Behavior on Realistic Counterfactuals"

9 / 9 papers shown
Title
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI
Xu Zheng
Farhad Shirani
Zhuomin Chen
Chaohao Lin
Wei Cheng
Wenbo Guo
Dongsheng Luo
AAML
38
0
0
03 Oct 2024
Exploring Contrast Consistency of Open-Domain Question Answering Systems
  on Minimally Edited Questions
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions
Zhihan Zhang
W. Yu
Zheng Ning
Mingxuan Ju
Meng Jiang
29
4
0
23 May 2023
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as
  Artificial Adversaries?
NaturalAdversaries: Can Naturalistic Adversaries Be as Effective as Artificial Adversaries?
Saadia Gabriel
Hamid Palangi
Yejin Choi
AAML
42
1
0
08 Nov 2022
Retrieval-guided Counterfactual Generation for QA
Retrieval-guided Counterfactual Generation for QA
Bhargavi Paranjape
Matthew Lamm
Ian Tenney
33
31
0
14 Oct 2021
Can Explanations Be Useful for Calibrating Black Box Models?
Can Explanations Be Useful for Calibrating Black Box Models?
Xi Ye
Greg Durrett
FAtt
24
25
0
14 Oct 2021
Measuring Association Between Labels and Free-Text Rationales
Measuring Association Between Labels and Free-Text Rationales
Sarah Wiegreffe
Ana Marasović
Noah A. Smith
282
170
0
24 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
260
622
0
04 Dec 2018
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,690
0
28 Feb 2017
1