Title
Bridging Expertise Gaps: The Role of LLMs in Human-AI Collaboration for Cybersecurity Shahroz Tariq Ronal Singh Mohan Baruwal Chhetri Surya Nepal Cécile Paris 41 1 0 06 May 2025
Gender Bias in Explainability: Investigating Performance Disparity in Post-hoc Methods Mahdi Dhaini Ege Erdogan Nils Feldhus Gjergji Kasneci 34 0 0 02 May 2025
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning Jakub Kacper Szelag Ji-Jian Chin Lauren Ansell Sook-Chin Yip 24 0 0 03 Apr 2025
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice José Antonio Siqueira de Cerqueira Kai-Kristian Kemell Muhammad Waseem Rebekah A. Rousi Nannan Xi Juho Hamari 52 3 0 27 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 145 0 0 17 Feb 2025
Causal Discovery and Classification Using Lempel-Ziv Complexity Dhruthi N. Nagaraj Harikrishnan Nellippallil Balakrishnan CML 21 0 0 04 Nov 2024
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments M. Domnich Julius Valja Rasmus Moorits Veski Giacomo Magnifico Kadi Tulver Eduard Barbu Raul Vicente LRM ELM 30 2 0 28 Oct 2024
User-centric evaluation of explainability of AI with and for humans: a comprehensive empirical study Szymon Bobek Paloma Korycińska Monika Krakowska Maciej Mozolewski Dorota Rak Magdalena Zych Magdalena Wójcik Grzegorz J. Nalepa ELM 21 1 0 21 Oct 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 60 26 0 30 Aug 2024
Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification Lisa Anita De Santi Jorg Schlotterer Meike Nauta Vincenzo Positano Christin Seifert 19 2 0 19 Jul 2024
Exploring Human-LLM Conversations: Mental Models and the Originator of Toxicity Johannes Schneider Arianna Casanova Flores Anne-Catherine Kranz 34 2 0 08 Jul 2024
Memorizing Documents with Guidance in Large Language Models Bumjin Park Jaesik Choi KELM RALM 26 1 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 54 1 0 21 Jun 2024
The Explanation Necessity for Healthcare AI Michail Mamalakis Héloïse de Vareilles Graham K Murray Pietro Lio' J. Suckling 28 2 0 31 May 2024
Global Counterfactual Directions Bartlomiej Sobieski P. Biecek DiffM 53 4 0 18 Apr 2024
Genetic Programming for Explainable Manifold Learning Ben Cravens Andrew Lensen Paula Maddigan Bing Xue 34 0 0 21 Mar 2024
Towards LLM-based Autograding for Short Textual Answers Johannes Schneider Bernd Schenk Christina Niklaus AI4Ed 11 31 0 09 Sep 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation Natalia Díaz Rodríguez Javier Del Ser Mark Coeckelbergh Marcos López de Prado E. Herrera-Viedma Francisco Herrera XAI 24 100 0 02 May 2023
Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off M. Zarlenga Pietro Barbiero Gabriele Ciravegna G. Marra Francesco Giannini ... F. Precioso S. Melacci Adrian Weller Pietro Lio' M. Jamnik 58 52 0 19 Sep 2022
Diffusion Models in Vision: A Survey Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah DiffM VLM MedIm 186 1,098 0 10 Sep 2022
A Survey of Machine Unlearning Thanh Tam Nguyen T. T. Huynh Phi Le Nguyen Alan Wee-Chung Liew Hongzhi Yin Quoc Viet Hung Nguyen MU 77 216 0 06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications Ling Yang Zhilong Zhang Yingxia Shao Shenda Hong Runsheng Xu Yue Zhao Wentao Zhang Bin Cui Ming-Hsuan Yang DiffM MedIm 213 1,277 0 02 Sep 2022
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization Javier Del Ser Alejandro Barredo Arrieta Natalia Díaz Rodríguez Francisco Herrera Andreas Holzinger AAML 36 4 0 20 May 2022
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 37 411 0 15 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 83 478 0 03 Feb 2021
Logic Tensor Networks Samy Badreddine Artur Garcez Luciano Serafini Michael Spranger NAI 70 196 0 25 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar S. Karnin ViT LMTD 140 412 0 11 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 222 3,658 0 28 Feb 2017