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On the Interaction of Belief Bias and Explanations

On the Interaction of Belief Bias and Explanations

29 June 2021
Ana Valeria González
Anna Rogers
Anders Søgaard
    FAtt
ArXivPDFHTML

Papers citing "On the Interaction of Belief Bias and Explanations"

15 / 15 papers shown
Title
Super-intelligence or Superstition? Exploring Psychological Factors
  Underlying Unwarranted Belief in AI Predictions
Super-intelligence or Superstition? Exploring Psychological Factors Underlying Unwarranted Belief in AI Predictions
Eunhae Lee
Pat Pataranutaporn
J. Amores
Pattie Maes
19
0
0
13 Aug 2024
Rethinking Relation Classification with Graph Meaning Representations
Rethinking Relation Classification with Graph Meaning Representations
Li Zhou
Wenyu Chen
DingYi Zeng
Hong Qu
Daniel Hershcovich
AI4CE
25
0
0
15 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based
  Explanations
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus
Qianli Wang
Tatiana Anikina
Sahil Chopra
Cennet Oguz
Sebastian Möller
32
9
0
09 Oct 2023
Being Right for Whose Right Reasons?
Being Right for Whose Right Reasons?
Terne Sasha Thorn Jakobsen
Laura Cabello
Anders Søgaard
29
10
0
01 Jun 2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
Neighboring Words Affect Human Interpretation of Saliency Explanations
Tim Dockhorn
Yaoliang Yu
Heike Adel
Mahdi Zolnouri
V. Nia
FAtt
MILM
28
3
0
04 May 2023
Saliency Map Verbalization: Comparing Feature Importance Representations
  from Model-free and Instruction-based Methods
Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods
Nils Feldhus
Leonhard Hennig
Maximilian Dustin Nasert
Christopher Ebert
Robert Schwarzenberg
Sebastian Möller
FAtt
21
19
0
13 Oct 2022
Challenges in Explanation Quality Evaluation
Challenges in Explanation Quality Evaluation
Hendrik Schuff
Heike Adel
Peng Qi
Ngoc Thang Vu
XAI
33
3
0
13 Oct 2022
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Machine Reading, Fast and Slow: When Do Models "Understand" Language?
Sagnik Ray Choudhury
Anna Rogers
Isabelle Augenstein
LRM
32
17
0
15 Sep 2022
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the
  Research Manifold
Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold
Sebastian Ruder
Ivan Vulić
Anders Søgaard
38
29
0
20 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior
Mediators: Conversational Agents Explaining NLP Model Behavior
Nils Feldhus
A. Ravichandran
Sebastian Möller
35
16
0
13 Jun 2022
Human Interpretation of Saliency-based Explanation Over Text
Human Interpretation of Saliency-based Explanation Over Text
Hendrik Schuff
Alon Jacovi
Heike Adel
Yoav Goldberg
Ngoc Thang Vu
MILM
XAI
FAtt
144
39
0
27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Alon Jacovi
Jasmijn Bastings
Sebastian Gehrmann
Yoav Goldberg
Katja Filippova
36
15
0
27 Jan 2022
Evaluating the Faithfulness of Importance Measures in NLP by Recursively
  Masking Allegedly Important Tokens and Retraining
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining
Andreas Madsen
Nicholas Meade
Vaibhav Adlakha
Siva Reddy
108
35
0
15 Oct 2021
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering
  and Reading Comprehension
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
Anna Rogers
Matt Gardner
Isabelle Augenstein
27
163
0
27 Jul 2021
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
257
3,684
0
28 Feb 2017
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