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. Explainable AI for Biodiversity Monitoring and Ecological Image Analysis

    Jun 26, 2026Brinnae Bent, Holly R. Houliston, Jiayi Zhou +2Explainable Artificial IntelligenceObject Detection

    Pratt School of Engineering, Duke University · British Antarctic Survey · Department of Applied Mathematics and Theoretical Physics, University of Cambridge +1

  2. Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement

    Jun 25, 2026Sangwoo Cho, Kushal Chawla, Pengshan Cai +4LLM EvaluationLLM-as-a-Judge

    Capital One, AI Foundations, McLean, VA 22102, USA.

  3. Few-class Fidelity: Evaluating Explanations of Real-conditions CNN classifiers with Optimized Perturbations

    Jun 23, 2026Wistan Marchadour, Pedro Soto Vega, Franck Vermet +1Explainable Medical Image AnalysisExplainability Evaluation

    LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France · LMBA, CNRS, UMR 6205, Univ Brest, Brest, France

  4. Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations

    Jun 23, 2026Jonas Klotz, Cassio F. Dantas, Pallavi Jain +2VLM InterpretabilitySparse Autoencoders

    The Berlin Institute for the Foundations of Learning and Data (BIFOLD) · Technische Universität Berlin, Germany · INRAE +2

  5. Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy

    Jun 23, 2026David A. Kelly, Nathan BlakeExplainability Evaluation

    Dept. of Informatics King’s College London London, UK

  6. Can Language Model Agents be Helpful Circuit Explainers in Mechanistic Interpretability?

    Jun 23, 2026Ayan Antik Khan, Harsh Kohli, Yuekun Yao +2LLM Agent EvaluationMechanistic Interpretability

    George Mason University · The Ohio State University

  7. Explainable AI in Speaker Recognition -- Attention Map Visualisation and Evaluation

    Jun 22, 2026Yanze Xu, Mark D. Plumbley, Wenwu WangGradient-Based AttributionFeature Attribution

    Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, GU2 7XH, UK · Department of Informatics, King’s College London, London, WC2R 2LS, UK

  8. Explanation-Guided Medical Named Entity Recognition with Stability and Boundary Awareness for Atopic Dermatitis

    Jun 22, 2026Xueguang Li, Di Lin, Xue Jiang +2Named Entity RecognitionExplainability Evaluation

    School of Information and Software Engineering, University of Electronic Science and Technology of China, Sichuan, China · School of Information and Software Engineering, University of Electronic Science and Technology of China, Sichuan 610054, China · Department of Dermatology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China +3

  9. A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI

    Jun 21, 2026Andreas Maier, Siming Bayer, Patrick KraussExplainable Artificial IntelligenceDifferentiable Programming

    Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany · Mannheim Center for Neuromodulation and Neuroprosthetics, Heidelberg University, Germany

  10. Residue-Level Attributions in Protein Language Models Do Not Recover Allergen Epitopes

    Jun 20, 2026Jianzhou Yao, Anxiong Song, Katja Baerenfaller +1Gradient-Based AttributionProtein Language Models

    Swiss Institute of Allergy and Asthma Research, Davos, Switzerland · ETH Zurich, Zurich, Switzerland · Swiss Institute of Bioinformatics, Lausanne, Switzerland

  11. ForEx: A Formal Verification Framework for Explainable Reasoning in Logical Fallacy Detection and Annotation

    Jun 20, 2026Pei-Cing Huang, Chienyu Liu, Chan Hsu +3Logical ReasoningExplainability Evaluation

    Department of Information Management National Sun Yat-Sen University Kaohsiung, Taiwan · Graduate Institute of Data Science & Information Computing National Chung Hsing University Taichung, Taiwan

  12. MedHal-Loc: Are "Explainable-by-Architecture" Medical Hallucination Detectors Faithful Localizers? A Localization Benchmark

    Jun 19, 2026Minmin Chen, Daojian Lu, Yining Dai +2Hallucination DetectionClinical Language Model Evaluation

    Shanwei Institute of Technology, Shanwei, China · Guangdong Provincial People’s Hospital, Guangzhou, China

  13. Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment

    Jun 19, 2026Xiaoliang Wu, Qiyang Sun, Yupei Li +3Explainable Artificial IntelligenceSpeech Quality Assessment

    University of Southampton, United Kingdom · Imperial College London, United Kingdom · University of Edinburgh, United Kingdom +1

  14. How Transparent is DiffusionGemma?

    Jun 18, 2026Joshua Engels, Callum McDougall, Bilal Chughtai +11LLM InterpretabilityDiffusion Language Models

    Google DeepMind

  15. Explainable Artificial Intelligence For The Detection and Characterisation of Stage B Heart Failure

    Jun 18, 2026Ahmed M Salih, Emer Brady, Ranjit Arnold +4Explainable Artificial IntelligenceExplainability Evaluation

    Division of Cardiovascular Sciences, University of Leicester, Leicester LE1 7RH, UK · British Heart Foundation Leicester Centre of Research Excellence, University of Leicester and the National Institute for Health and Social Care(NIHR) Biomedical Research Centre Leicester, Glenfield Hospital, Leicester, UK · School of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, UK

  16. From Sparse Features to Trustworthy Proxies: Certifying SAE-Based Interpretability

    Jun 16, 2026Dibyanayan Bandyopadhyay, Asif EkbalLLM InterpretabilitySparse Autoencoders

    Department of Computer Science and Engineering, Indian Institute of Technology Patna, Bihar, India.

  17. Federated Explainable Artificial Intelligence: Roles, Architectures, Evaluation, and Open Challenges

    Jun 15, 2026Masoume Gholizade, Fabrizio Ruffini, Pietro Ducange +1Explainable Artificial IntelligencePrivacy-Preserving ML

    Department of Information Engineering, University of Pisa, Largo Lucio Lazzarino 1, Pisa, 56122, Italy

  18. LLM-Based Visual Explanation Evaluation Framework for Assessing the Explainability of Facial Skin Disease Classification Models

    Jun 15, 2026Gyuyeon NaSkin Lesion ClassificationLLM-as-a-Judge

    AI and Business Analytics, Ewha Womans University, Seoul, Republic of Korea

  19. We Need Explanation Cards to Connect Explanation Algorithms to the Real World

    Jun 15, 2026Eric Günther, Balázs Szabados, Kristof Meding +3Explainable Artificial IntelligenceAI Accountability

    University of Tübingen · Tübingen AI Center · HUN-REN Institute for Computer Science and Control (SZTAKI), Budapest, Hungary

  20. Assessing Reliability of Symbol Detection in Concept Bottleneck Models

    Jun 15, 2026Javier Fumanal-Idocin, Javier Andreu-PerezConcept Bottleneck ModelsShortcut Learning

    University of Essex, Wivenhoe Park, Essex, United Kingdom

  21. Is Your Trajectory Displacement Safe in Long-tail?

    Jun 15, 2026Qiao Sun, Weicheng Zheng, Yixin Huang +1Autonomous Driving Safety EvaluationAutonomous Driving

    Shanghai Qi Zhi Institute · Tongji University · Tsinghua University

  22. Trusting Right Predictions for Wrong Reasons: A LIME Based Analysis of Deep Learning Interpretability in Lung Cancer Diagnosis

    Jun 14, 2026Samarpan Poudel, Vladislav D VekslerExplainable Artificial IntelligenceExplanation Stability

    Caldwell University School of Business and Computer Science Caldwell, NJ 07006

  23. The Perceived Fragility of Explanations in Audio Models: Manipulation of Attribution with Unchanged Predictions

    Jun 12, 2026Piotr Kitłowski, Dominik Wiącek, Mateusz ModrzejewskiAudio Deepfake DetectionAdversarial Attacks

    Faculty of Electronics and Information Technology, Warsaw University of Technology, Warsaw, Poland.

  24. Where Black-box Drug-Target Interaction Prediction Models Look: Cross-Method Explainability

    Jun 12, 2026Ali Vefghi, Zahed Rahmati, Mohammad AkbariFeature AttributionExplainability Evaluation

    Department of Mathematics and Computer Science, Amirkabir University of Technology, Tehran, Iran

  25. Explaining RhythmFormer: A Systematic XAI Analysis of Periodic Sparse Attention for Remote Photoplethysmography

    Jun 11, 2026Louis Chen, Torbjörn E. M. NordlingRemote PhotoplethysmographyTransformer Interpretability

    Department of Mechanical Engineering, National Cheng Kung University, Tainan, Taiwan.

  26. Detecting Explanatory Insufficiency in Learned Representations: A Framework for Representational Vigilance

    Jun 11, 2026Jacques Raynal, Pierre Slangen, Elsa Raynal +1Representation LearningRepresentation Probing

    Laboratory of Bioengineering and Nanosciences (LBN), University of Montpellier, France · EuroMov Digital Health in Motion, University of Montpellier, IMT Mines Alès, Alès, France · Certified Sophrologist, Sensorimotor Practice, Montpellier, France +1

  27. Self-Explainability in Self-Adaptive and Self-Organising Systems: Status and Research Directions

    Jun 8, 2026Tom Beyer, Svea Wisy, Sven TomfordeExplainable Artificial IntelligenceExplainability Evaluation

    Intelligent Systems Group, Kiel University, Germany

  28. Human-Centered Benchmarking of Driver Monitoring Models

    Jun 6, 2026Ruben Dario Florez-ZelaExplainability EvaluationDriver Monitoring

    Universidad Nacional de San Agustin de Arequipa (UNSA) Arequipa, Peru

  29. Many Circuits, One Mechanism: Input Variation and Evaluation Granularity in Circuit Discovery

    Jun 4, 2026Alireza Bayat Makou, Jingcheng Niu, Subhabrata Dutta +1Circuit DiscoveryMechanistic Interpretability

    UKP Lab, Technical University of Darmstadt · National Research Center for Applied Cybersecurity ATHENE

  30. Metamorphic Testing with the Rashomon Set: Explanation Faithfulness in Machine Learning

    Jun 4, 2026Helge Spieker, Jørn Eirik Betten, Arnaud GotliebMetamorphic TestingExplainability Evaluation

    Simula Research Laboratory Oslo, Norway