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Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction
30 August 2024
Melkamu Mersha
Khang Lam
Joseph Wood
Ali AlShami
Jugal Kalita
XAI
AI4TS
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Papers citing
"Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction"
50 / 114 papers shown
Title
Explainable AI: XAI-Guided Context-Aware Data Augmentation
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Hassan Shakil
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PEDANTIC: A Dataset for the Automatic Examination of Definiteness in Patent Claims
Valentin Knappich
Annemarie Friedrich
Anna Hätty
Simon Razniewski
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27 May 2025
Explainable Artificial Intelligence Techniques for Software Development Lifecycle: A Phase-specific Survey
Lakshit Arora
Sanjay Surendranath Girija
Shashank Kapoor
Aman Raj
Dipen Pradhan
Ankit Shetgaonkar
68
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11 May 2025
Enhancing Trust Through Standards: A Comparative Risk-Impact Framework for Aligning ISO AI Standards with Global Ethical and Regulatory Contexts
Sridharan Sankaran
63
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22 Apr 2025
A Unified Framework with Novel Metrics for Evaluating the Effectiveness of XAI Techniques in LLMs
Melkamu Mersha
Mesay Gemeda Yigezu
Hassan Shakil
Ali Al shami
SangHyun Byun
Jugal Kalita
222
2
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06 Mar 2025
Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
Melkamu Mersha
Mesay Gemeda Yigezu
Jugal Kalita
ELM
235
5
0
26 Jan 2025
Investigating the Effectiveness of Explainability Methods in Parkinson's Detection from Speech
Eleonora Mancini
Francesco Paissan
Paolo Torroni
Mirco Ravanelli
Cem Subakan
83
2
0
12 Nov 2024
Pose2Trajectory: Using Transformers on Body Pose to Predict Tennis Player's Trajectory
Ali AlShami
Terrance Boult
Jugal Kalita
90
10
0
07 Nov 2024
Explainability of Point Cloud Neural Networks Using SMILE: Statistical Model-Agnostic Interpretability with Local Explanations
Seyed Mohammad Ahmadi
Koorosh Aslansefat
Ruben Valcarce-Dineiro
Joshua Barnfather
79
2
0
20 Oct 2024
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
Mesay Gemeda Yigezu
Melkamu Mersha
Girma Yohannis Bade
Jugal Kalita
Olga Kolesnikova
Alexander Gelbukh
91
3
0
03 Oct 2024
Semantic-Driven Topic Modeling Using Transformer-Based Embeddings and Clustering Algorithms
Melkamu Mersha
Mesay Gemeda yigezu
Jugal Kalita
91
5
0
30 Sep 2024
Audio-visual cross-modality knowledge transfer for machine learning-based in-situ monitoring in laser additive manufacturing
Jiarui Xie
Mutahar Safdar
Lequn Chen
Seung Ki Moon
Y. Zhao
126
1
0
09 Aug 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
152
227
0
30 Oct 2023
The role of causality in explainable artificial intelligence
Gianluca Carloni
Andrea Berti
Sara Colantonio
CML
XAI
77
12
0
18 Sep 2023
NExT-GPT: Any-to-Any Multimodal LLM
Shengqiong Wu
Hao Fei
Leigang Qu
Wei Ji
Tat-Seng Chua
MLLM
117
507
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11 Sep 2023
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions
Skyler Wu
Eric Meng Shen
Charumathi Badrinath
Jiaqi Ma
Himabindu Lakkaraju
LRM
87
27
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25 Jul 2023
Measuring Faithfulness in Chain-of-Thought Reasoning
Tamera Lanham
Anna Chen
Ansh Radhakrishnan
Benoit Steiner
Carson E. Denison
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Zac Hatfield-Dodds
Jared Kaplan
J. Brauner
Sam Bowman
Ethan Perez
ReLM
LRM
80
193
0
17 Jul 2023
Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps
Fuxiao Liu
Paiheng Xu
Zongxi Li
Yue Feng
Hyemi Song
116
35
0
11 Jul 2023
Artificial intelligence to advance Earth observation: a perspective
D. Tuia
Konrad Schindler
Begüm Demir
Gustau Camps-Valls
Xiao Xiang Zhu
...
Mihai Datcu
Jorge-Arnulfo Quiané-Ruiz
Volker Markl
Bertrand Le Saux
Rochelle Schneider
122
12
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15 May 2023
AttentionViz: A Global View of Transformer Attention
Catherine Yeh
Yida Chen
Aoyu Wu
Cynthia Chen
Fernanda Viégas
Martin Wattenberg
ViT
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04 May 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?
M. Rubaiyat
Hossain Mondal
Prajoy Podder
91
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10 Apr 2023
Larger language models do in-context learning differently
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
...
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
ReLM
LRM
125
374
0
07 Mar 2023
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White
Quchen Fu
Sam Hays
Michael Sandborn
Carlos Olea
Henry Gilbert
Ashraf Elnashar
Jesse Spencer-Smith
Douglas C. Schmidt
LLMAG
205
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21 Feb 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges
G. Vouros
XAI
137
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24 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Valerie Chen
Q. V. Liao
Jennifer Wortman Vaughan
Gagan Bansal
153
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18 Jan 2023
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang
Sewon Min
Xiang Deng
Jiaming Shen
You Wu
Luke Zettlemoyer
Huan Sun
LRM
ReLM
122
252
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20 Dec 2022
Using explainability to design physics-aware CNNs for solving subsurface inverse problems
J. Crocker
Krishna Kumar
B. Cox
69
9
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16 Nov 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
232
121
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16 Sep 2022
Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks
Tilman Raukur
A. Ho
Stephen Casper
Dylan Hadfield-Menell
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128
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0
27 Jul 2022
TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations
Dylan Slack
Satyapriya Krishna
Himabindu Lakkaraju
Sameer Singh
84
84
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Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Leander Weber
Sebastian Lapuschkin
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109
103
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15 Mar 2022
XAI for Transformers: Better Explanations through Conservative Propagation
Ameen Ali
Thomas Schnake
Oliver Eberle
G. Montavon
Klaus-Robert Muller
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FAtt
93
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Quantus: An Explainable AI Toolkit for Responsible Evaluation of Neural Network Explanations and Beyond
Anna Hedström
Leander Weber
Dilyara Bareeva
Daniel G. Krakowczyk
Franz Motzkus
Wojciech Samek
Sebastian Lapuschkin
Marina M.-C. Höhne
XAI
ELM
90
179
0
14 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
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LM&Ro
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AI4CE
ReLM
1.1K
9,815
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Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
112
138
0
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Towards a Science of Human-AI Decision Making: A Survey of Empirical Studies
Vivian Lai
Chacha Chen
Q. V. Liao
Alison Smith-Renner
Chenhao Tan
123
188
0
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A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
60
79
0
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Towards Safe, Explainable, and Regulated Autonomous Driving
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
113
11
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Interpretable and Explainable Machine Learning for Materials Science and Chemistry
Felipe Oviedo
J. L. Ferres
Tonio Buonassisi
K. Butler
AI4CE
57
158
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Physically Explainable CNN for SAR Image Classification
Zhongling Huang
Xiwen Yao
Ying Liu
C. Dumitru
Mihai Datcu
Junwei Han
PINN
69
61
0
27 Oct 2021
Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning with Shapley Values
Alexandre Heuillet
Fabien Couthouis
Natalia Díaz Rodríguez
87
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Time Series Model Attribution Visualizations as Explanations
U. Schlegel
Daniel A. Keim
TDI
BDL
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XAI
89
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Developing a Fidelity Evaluation Approach for Interpretable Machine Learning
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Chun Ouyang
Catarina Moreira
Renuka Sindhgatta
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49
16
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Model Explainability in Deep Learning Based Natural Language Processing
Shafie Gholizadeh
Nengfeng Zhou
59
20
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14 Jun 2021
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza
K. Tran
L. Koehl
Shujun Li
77
135
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26 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe
Bettina Finzel
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153
198
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Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat
Raphael Puget
David Filliat
Javier Del Ser
R. Gelin
Natalia Díaz Rodríguez
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99
135
0
02 Apr 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
Hila Chefer
Shir Gur
Lior Wolf
ViT
103
327
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Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping
Jessica Cooper
Ognjen Arandjelovic
David J. Harrison
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132
13
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What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research
Markus Langer
Daniel Oster
Timo Speith
Holger Hermanns
Lena Kästner
Eva Schmidt
Andreas Sesing
Kevin Baum
XAI
125
432
0
15 Feb 2021
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