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1606.07298
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Explaining Predictions of Non-Linear Classifiers in NLP
23 June 2016
L. Arras
F. Horn
G. Montavon
K. Müller
Wojciech Samek
FAtt
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Papers citing
"Explaining Predictions of Non-Linear Classifiers in NLP"
26 / 26 papers shown
Title
Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
Katie Matton
Robert Osazuwa Ness
John Guttag
Emre Kıcıman
21
2
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19 Apr 2025
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
Somnath Banerjee
Maulindu Sarkar
Punyajoy Saha
Binny Mathew
Animesh Mukherjee
TDI
34
0
0
22 Feb 2024
Building a Llama2-finetuned LLM for Odia Language Utilizing Domain Knowledge Instruction Set
Guneet Singh Kohli
Shantipriya Parida
Sambit Sekhar
Samirit Saha
Nipun B. Nair
Parul Agarwal
Sonal Khosla
Kusumlata Patiyal
Debasish Dhal
35
13
0
19 Dec 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI)
Timo Speith
Markus Langer
29
12
0
26 Jul 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples
Yi Cai
Arthur Zimek
Eirini Ntoutsi
Gerhard Wunder
AI4TS
22
0
0
11 Feb 2023
CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task
Ricardo Rei
Marcos Vinícius Treviso
Nuno M. Guerreiro
Chrysoula Zerva
Ana C. Farinha
...
T. Glushkova
Duarte M. Alves
A. Lavie
Luísa Coheur
André F. T. Martins
60
139
0
13 Sep 2022
Argumentative Explanations for Pattern-Based Text Classifiers
Piyawat Lertvittayakumjorn
Francesca Toni
42
4
0
22 May 2022
Interpretation of Black Box NLP Models: A Survey
Shivani Choudhary
N. Chatterjee
S. K. Saha
FAtt
34
10
0
31 Mar 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei-Ye Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
17
44
0
20 Oct 2021
XPROAX-Local explanations for text classification with progressive neighborhood approximation
Yi Cai
Arthur Zimek
Eirini Ntoutsi
25
5
0
30 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
G. Chrysostomou
Nikolaos Aletras
32
16
0
31 Aug 2021
On the Lack of Robust Interpretability of Neural Text Classifiers
Muhammad Bilal Zafar
Michele Donini
Dylan Slack
Cédric Archambeau
Sanjiv Ranjan Das
K. Kenthapadi
AAML
11
21
0
08 Jun 2021
On Guaranteed Optimal Robust Explanations for NLP Models
Emanuele La Malfa
A. Zbrzezny
Rhiannon Michelmore
Nicola Paoletti
Marta Z. Kwiatkowska
FAtt
13
47
0
08 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification
G. Chrysostomou
Nikolaos Aletras
21
37
0
06 May 2021
Explanation-Based Human Debugging of NLP Models: A Survey
Piyawat Lertvittayakumjorn
Francesca Toni
LRM
42
79
0
30 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models
G. Chrysostomou
Nikolaos Aletras
31
14
0
16 Apr 2021
Self-Explaining Structures Improve NLP Models
Zijun Sun
Chun Fan
Qinghong Han
Xiaofei Sun
Yuxian Meng
Fei Wu
Jiwei Li
MILM
XAI
LRM
FAtt
43
38
0
03 Dec 2020
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Ozan Ozyegen
Igor Ilic
Mucahit Cevik
FAtt
AI4TS
16
2
0
18 Sep 2020
Explainable Deep Learning: A Field Guide for the Uninitiated
Gabrielle Ras
Ning Xie
Marcel van Gerven
Derek Doran
AAML
XAI
41
371
0
30 Apr 2020
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn
Sebastian Lapuschkin
S. Wäldchen
Alexander Binder
G. Montavon
Wojciech Samek
K. Müller
17
996
0
26 Feb 2019
Automating the search for a patent's prior art with a full text similarity search
Lea Helmers
F. Horn
Franziska Biegler
Tim Oppermann
K. Müller
19
47
0
10 Jan 2019
Interpreting the Predictions of Complex ML Models by Layer-wise Relevance Propagation
Wojciech Samek
G. Montavon
Alexander Binder
Sebastian Lapuschkin
K. Müller
FAtt
AI4CE
40
48
0
24 Nov 2016
VisualBackProp: efficient visualization of CNNs
Mariusz Bojarski
A. Choromańska
K. Choromanski
Bernhard Firner
L. Jackel
Urs Muller
Karol Zieba
FAtt
30
74
0
16 Nov 2016
Understanding Convolutional Neural Networks with A Mathematical Model
C.-C. Jay Kuo
FAtt
21
370
0
14 Sep 2016
Identifying individual facial expressions by deconstructing a neural network
F. Arbabzadah
G. Montavon
K. Müller
Wojciech Samek
CVBM
FAtt
30
31
0
23 Jun 2016
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