Explainability Evaluation

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27 papers in the last four weeks, up 50% on the four weeks before. 0.3% of all new papers.

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  1. CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations

    Apr 30, 2026Louth Bin Rawshan, Zhuoyu Wang, Brian Y. LimFeature AttributionExplainable Artificial Intelligence

    National University of Singapore, Singapore

  2. Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems

    Apr 28, 2026Ben Knight, Wm. Matthew Kennedy, Danielle Carvalho +2Explainable Artificial IntelligenceAI in Education

    Oxford University Press, UK · Oxford Internet Institute University of Oxford, UK

  3. Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Satellite-Based Flood Mapping

    Apr 28, 2026Hyunho Lee, Wenwen LiRemote SensingExplainability Evaluation

    School of Geographical Sciences and Urban Planning, Arizona State University, Tempe, 85281, AZ, USA

  4. Explainable AI for Jet Tagging: A Comparative Study of GNNExplainer, GNNShap, and GradCAM for Jet Tagging in the Lund Jet Plane

    Apr 28, 2026Pahal D. Patel, Sanmay GangulyGradient-Based AttributionJet Tagging

    Department of Physics, Indian Institute of Technology, Kanpur Uttar-Pradesh-208016, India

  5. XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation

    Apr 27, 2026Zhuoling Li, Ha Linh Hong Tran Nguyen, Valeria Bladinieres +1Retrieval-Augmented GenerationGraph Retrieval-Augmented Generation

    Berlin Technology Centre · Deutsche Bank

  6. Explanation Quality Assessment as Ranking with Listwise Rewards

    Apr 27, 2026Thomas Bailleux, Tanmoy Mukherjee, Emmanuel Lonca +2Reward ModelingLearning to Rank

    CRIL, Univ. Artois & CNRS, France · Institut Universitaire de France

  7. Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings

    Apr 24, 2026Inês Oliveira e Silva, Sérgio Jesus, Iker Perez +4Human-in-the-Loop EvaluationShapley Value Attribution

    University of Porto, Feedzai · Feedzai · University of Porto

  8. On the Properties of Feature Attribution for Supervised Contrastive Learning

    Apr 24, 2026Leonardo Arrighi, Julia Eva Belloni, Aurélie Gallet +3Feature AttributionSupervised Contrastive Learning

    University of Trieste, Trieste, Italy · University of Groningen, Groningen, the Netherlands · University of Amsterdam, Amsterdam, the Netherlands +3

  9. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMs

    Apr 21, 2026Ziyi Wang, Chen Zhang, Wenjun Peng +2CoT FaithfulnessMulti-Agent LLM Systems

    1Adelaide University, Australia

  10. From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems

    Apr 21, 2026Quang-Huy Nguyen, Thanh-Hai Nguyen, Khac-Manh Thai +6Counterfactual EvaluationCounterfactual Explanations

    VNU University of Engineering and Technology · Delft University of Technology

  11. On the Importance and Evaluation of Narrativity in Natural Language AI Explanations

    Apr 20, 2026Mateusz Cedro, David MartensExplainable Artificial IntelligenceExplainability Evaluation

    University of Antwerp, Belgium

  12. ExAI5G: A Logic-Based Explainable AI Framework for Intrusion Detection in 5G Networks

    Apr 20, 2026Saeid Sheikhi, Panos Kostakos, Lauri LovenExplainable Artificial IntelligenceNetwork Intrusion Detection

    Faculty of Information Technology and Electrical Engineering, University of Oulu, , Oulu, 90570, , Finland

  13. From Scoring to Explanations: Evaluating SHAP and LLM Rationales for Rubric-based Teaching Quality Assessment

    Apr 18, 2026Ivo Bueno, Babette Bühler, Philipp Stark +5Educational AssessmentShapley Value Attribution

    1Technical University of Munich · 2Munich Center for Machine Learning (MCML) · 3Lund University +3

  14. Prune, Interpret, Evaluate: A Cross-Layer Transcoder-Native Framework for Efficient Circuit Discovery via Feature Attribution

    Apr 18, 2026Qinhao Chen, Linyang He, Nima MesgaraniLLM PruningFeature Attribution

    Columbia University

  15. The Query Channel: Information-Theoretic Limits of Masking-Based Explanations

    Apr 17, 2026Erciyes Karakaya, Ozgur ErcetinFeature AttributionExplainable Artificial Intelligence

    *Department of Electrical and Computer Engineering, University of Maryland, College Park, USA · †Faculty of Engineering and Natural Sciences, Sabanci University, Turkiye

  16. Using Large Language Models and Knowledge Graphs to Improve the Interpretability of Machine Learning Models in Manufacturing

    Apr 17, 2026Thomas Bayer, Alexander Lohr, Sarah Weiß +2ManufacturingLLM Grounding

    University of Applied Sciences Ravensburg-Weingarten, Germany

  17. Ranking XAI Methods for Head and Neck Cancer Outcome Prediction

    Apr 17, 2026Baoqiang Ma, Djennifer K. Madzia-Madzou, Rosa C. J. Kraaijveld +1Gradient-Based AttributionCancer Survival Prediction

    Image Sciences Institute, University Medical Center Utrecht

  18. Robust Explanations for User Trust in Enterprise NLP Systems

    Apr 13, 2026Guilin Zhang, Kai Zhao, Jeffrey Friedman +3Explainable Artificial IntelligenceLLM Interpretability

    Workday AI Research

  19. A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior

    Feb 2, 2026Harry Mayne, Justin Singh Kang, Dewi Gould +3Faithfulness of Language Model ExplanationsLLM Interpretability

    University of Oxford · University of California, Berkeley · Independent +2

  20. Explanation Multiplicity in SHAP: Characterization and Assessment

    Jan 19, 2026Hyunseung Hwang, Seungeun Lee, Lucas Rosenblatt +2SHAP Feature AttributionFeature Attribution

    KAIST, Daejeon, Republic of Korea · New York University, New York, NY, USA

  21. Explainability of Complex AI Models with Correlation Impact Ratio

    Jan 10, 2026Poushali Sengupta, Rabindra Khadka, Sabita Maharjan +5Feature AttributionInterpretable ML

    Institute of Informatics, University of Oslo, Oslo, Norway · Department of Computer Science, Oslo Metropolitan University, Oslo, Norway · Aalborg University, Denmark

  22. EvoXplain: When Machine Learning Models Agree on Predictions but Disagree on Why -- Measuring Mechanistic Multiplicity Across Training Runs

    Dec 23, 2025Chama BensmailCancer GenomicsModel Selection

    University of Hertfordshire

  23. TxSum: User-Centered Ethereum Transaction Understanding with Micro-Level Semantic Grounding

    Dec 7, 2025Zifan Peng, Jingyi Zheng, Yule Liu +8Financial ServicesGrounded Text Generation

    1Hong Kong University of Science and Technology (Guangzhou) · 3Independent Researcher · University of North Texas +2

  24. CID: Measuring Feature Importance Through Counterfactual Distributions

    Nov 19, 2025Eddie Conti, Álvaro Parafita, Axel BrandoFeature AttributionExplainability Evaluation

    TAIES Group, HPES Lab, Barcelona Supercomputing Center (BSC)

  25. Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations

    Nov 15, 2025Eunkyu Park, Wesley Hanwen Deng, Vasudha Varadarajan +4VLM ReasoningMultimodal CoT Reasoning

    Seoul National University · Human-Computer Interaction Institute, Carnegie Mellon University · Language Technologies Institute, Carnegie Mellon University

  26. Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI

    Oct 1, 2025Akchunya Chanchal, David A. Kelly, Hana ChocklerExplainable Artificial IntelligenceExplanation Stability

    Department of Informatics King’s College London Strand, WC2R 2LS, London, UK

  27. Explainable Information Processing in Particle Swarm Optimization through Landscape and Search Behavior Analysis

    Sep 8, 2025Nitin Gupta, Bapi Dutta, Anupam YadavMetaheuristic OptimizationExplainability Evaluation

    Department of Mathematics and Computing Dr. B. R. Ambedkar National Institute of Technology Jalandhar, Jalandhar - 144008, INDIA · Department of Computer Science University of Jaén, Jaén, SPAIN

  28. Ultra Strong Machine Learning: LLM-Generated Explanations Do Not Yet Suffice for Teaching Humans Active Learning Strategy

    Aug 31, 2025Lun Ai, Johannes Langer, Ute Schmid +1Active LearningHuman-in-the-Loop AI

    Department of Computing, Imperial College London, UK · Faculty Information Systems and Applied Computer Science, University of Bamberg, Germany

  29. Grad-CAM for Visualizing Attention Regions of PCA and SVM Layers in Convolutional Neural Networks

    Aug 16, 2025Yuto Omae, Hirotaka TakahashiGradient-Based AttributionConvolutional Neural Networks

    Nihon University

  30. Rule2Text: A Framework for Generating and Evaluating Natural Language Explanations of Knowledge Graph Rules

    Aug 14, 2025Nasim Shirvani-Mahdavi, Chengkai LiLLM EvaluationExplainability Evaluation

    University of Texas at Arlington, Arlington, Texas 76019, USA