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A Song of (Dis)agreement: Evaluating the Evaluation of Explainable
  Artificial Intelligence in Natural Language Processing

A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing

9 May 2022
Michael Neely
Stefan F. Schouten
Maurits J. R. Bleeker
Ana Lucic
    XAI
ArXiv (abs)PDFHTML

Papers citing "A Song of (Dis)agreement: Evaluating the Evaluation of Explainable Artificial Intelligence in Natural Language Processing"

15 / 15 papers shown
On the reliability of feature attribution methods for speech classification
On the reliability of feature attribution methods for speech classification
Gaofei Shen
Hosein Mohebbi
Arianna Bisazza
Afra Alishahi
Grzegorz Chrupała
372
0
0
22 May 2025
Fake News Detection After LLM Laundering: Measurement and Explanation
Fake News Detection After LLM Laundering: Measurement and Explanation
Rupak Kumar Das
Jonathan Dodge
568
6
0
29 Jan 2025
"Let's Agree to Disagree": Investigating the Disagreement Problem in Explainable AI for Text Summarization
"Let's Agree to Disagree": Investigating the Disagreement Problem in Explainable AI for Text Summarization
Seema Aswani
Sujala D. Shetty
201
1
0
24 Oct 2024
The Role of Syntactic Span Preferences in Post-Hoc Explanation
  Disagreement
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement
Jonathan Kamp
Lisa Beinborn
Antske Fokkens
225
3
0
28 Mar 2024
Attention Meets Post-hoc Interpretability: A Mathematical Perspective
Attention Meets Post-hoc Interpretability: A Mathematical PerspectiveInternational Conference on Machine Learning (ICML), 2024
Gianluigi Lopardo
F. Precioso
Damien Garreau
258
12
0
05 Feb 2024
Dynamic Top-k Estimation Consolidates Disagreement between Feature
  Attribution Methods
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution MethodsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Jonathan Kamp
Lisa Beinborn
Antske Fokkens
FAtt
237
2
0
09 Oct 2023
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Anna Langedijk
Hosein Mohebbi
Gabriele Sarti
Willem H. Zuidema
Jaap Jumelet
254
15
0
05 Oct 2023
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain
  Performance and Calibration
CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and CalibrationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Rachneet Sachdeva
Martin Tutek
Iryna Gurevych
OODD
335
16
0
14 Sep 2023
Fixing confirmation bias in feature attribution methods via semantic
  match
Fixing confirmation bias in feature attribution methods via semantic match
Giovanni Cina
Daniel Fernandez-Llaneza
Ludovico Deponte
Nishant Mishra
Tabea E. Rober
Sandro Pezzelle
Iacer Calixto
Rob Goedhart
cS. .Ilker Birbil
FAtt
248
3
0
03 Jul 2023
Feature Interactions Reveal Linguistic Structure in Language Models
Feature Interactions Reveal Linguistic Structure in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Jaap Jumelet
Willem H. Zuidema
FAtt
199
9
0
21 Jun 2023
Quantifying Context Mixing in Transformers
Quantifying Context Mixing in TransformersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Hosein Mohebbi
Willem H. Zuidema
Grzegorz Chrupała
Afra Alishahi
473
38
0
30 Jan 2023
Semantic match: Debugging feature attribution methods in XAI for
  healthcare
Semantic match: Debugging feature attribution methods in XAI for healthcareACM Conference on Health, Inference, and Learning (CHIL), 2023
Giovanni Cina
Tabea E. Rober
Rob Goedhart
cS. .Ilker Birbil
246
5
0
05 Jan 2023
Why we do need Explainable AI for Healthcare
Why we do need Explainable AI for Healthcare
Giovanni Cina
Tabea E. Rober
Rob Goedhart
Ilker Birbil
195
19
0
30 Jun 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
772
243
0
03 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,924
0
16 Feb 2016
1
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