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. Explainability Framework for Policy-Aware Autonomous Agents

    Jul 23, 2026Heather Merhout, Daniela InclezanExplainable Artificial IntelligenceCounterfactual Explanations

    Miami University · Miami University Oxford, Ohio, United States

  2. Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification

    Jul 23, 2026Kritanu Chattopadhyay, Sayanjit Singha Roy, Soumya ChatterjeeCounterfactual ExplanationsMedical Image Classification

    Department of Mechanical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India · Department of Electrical Engineering, IIT Kanpur, Uttar Pradesh, 208016, India · Department of Electrical Engineering, National Institute of Technology Durgapur, West Bengal, 713209, India

  3. Explainable Deepfake Detection Challenge

    Jul 23, 2026Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +4Image Forgery DetectionExplainable Deepfake Detection

    American University of Sharjah Sharjah, United Arab Emirates

  4. A Multi-Dimensional Evaluation of Explainability in Media Bias Detection

    Jul 22, 2026Ting Chen, Raina Zhang, Benjamin M. Ampel +1Attention Head AnalysisMechanistic Interpretability

    Carnegie Mellon University · Indiana University · Georgia State University

  5. CircuitKIT : Circuit Discovery, Evaluation, and Application Toolkit for Mechanistic Interpretability

    Jul 21, 2026Pratinav Seth, Hem Gosalia, Aditya Kasliwal +1Circuit DiscoveryMechanistic Interpretability

    Lexsi Labs

  6. Position: Explanation Stability Is a Property of the Model Method Pair, Not the Model

    Jul 18, 2026Kabilan Elangovan, Daniel TingGradient-Based AttributionExplanation Stability

    Singapore Health Services and Singapore Eye Research Institute, Singapore.

  7. From Plausible to Actionable: A Position on LLM Self-Explanations

    Jul 17, 2026Elize Herrewijnen, Benedetta Muscato, Gizem Gezici +1CoT FaithfulnessFaithfulness of Language Model Explanations

    University of Utrecht, Utrecht, Netherlands · National Police Lab AI, Netherlands Police, Driebergen, Netherlands · Scuola Normale Superiore, Pisa, Italy +1

  8. On the Disagreement in Perturbation-based xAI -- Benchmarking Perturbation Choices for Flood Detection from SAR Images

    Jul 16, 2026Anastasia Schlegel, Ronny HänschFeature AttributionPerturbation-Based Feature Attribution

    Microwaves and Radar Institute, German Aerospace Center (DLR), Weßling, 82234, Germany · Chair of Remote Sensing Technology, Department of Aerospace and Geodesy, Technical University of Munich, Munich, 80333, Germany

  9. Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models

    Jul 15, 2026Georgios Makridis, Georgios Fatouros, Athanasios Kiourtis +4Feature AttributionExplainability Evaluation

    Department of Digital Systems University of Piraeus Piraeus, Greece · Department of Business Administration University of Piraeus Piraeus, Greece · Innov-Acts Ltd Innov-Acts Nicosia, Cyprus

  10. Local Additive Feature Attribution: A Mathematical Taxonomy and Reporting Checklist

    Jul 15, 2026Rebecca Afriyie Sarpong, Daniel CommeyGradient-Based AttributionFeature Attribution

  11. Explaining Reinforcement Learning Agents via Inductive Logic Programming

    Jul 15, 2026Celeste Veronese, Edoardo Zorzi, Daniele Meli +1Interpretability in RLExplainability Evaluation

    University of Verona, Italy · Sapienza University of Rome, Italy

  12. Auditing Construct Overlap in Explainable Machine Learning: Evidence from Burnout-Depression Prediction Across Student Cohorts

    Jul 12, 2026Alireza Dehghan, Negin AshrafiExplainability Evaluation

    Sharif University of Technology, Tehran, Iran · University of Southern California, California, USA

  13. ConceptSMILE: Auditing the Trustworthiness of Concept-Based Explainable AI

    Jul 10, 2026Mohadeseh Mollapour, Koorosh Aslansefat, Zeinab Dehghani +3Concept-Based ExplanationsExplainable Medical Image Analysis

    School of Computer Science University of Hull Hull, United Kingdom · PhD Researcher (Engineering), WMG University of Warwick Coventry, United Kingdom · School of Computing Newcastle University Newcastle upon Tyne, United Kingdom

  14. Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability

    Jul 9, 2026Amir AsiaeeMechanistic InterpretabilityCausal Interventions in Language Models

    Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN 37232, USA

  15. ReMoDEx: A Local-to-Global Relevance-Based Model Decision Explainability Framework for large-Scale Image Datasets

    Jul 8, 2026Abhay Kumar Pathak, Mrityunjay Chaubey, Manjari GuptaExplainable Artificial IntelligenceExplainable Image Classification

    Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India · University of Petroleum and Energy Studies, Dehradun, India

  16. Optimized Instance Alteration for Explaining and Assessing Robustness of Classifiers

    Jul 7, 2026Evgenii Kuriabov, David Miller, Jia LiCounterfactual ExplanationsAdversarial Robustness

    Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA · Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USA

  17. X-FEMR: A Token-level Explainable Approach for Electronic Health Records Foundation Models using Transformer-based Models

    Jul 7, 2026Jie Huang, Pengfei Yin, Zihan Xu +3Neural Surrogate ModelingNeural Network Interpretability

    School of Computing and Information Systems, University of Melbourne, Melbourne, Australia · Department of General Medicine, Royal Melbourne Hospital Melbourne, Australia

  18. Measuring What Matters: A Unified Evaluation Framework for GNN Explainability

    Jul 6, 2026Francesco Paolo Nerini, Mirko Zaffaroni, Paolo Baracco +2Explainability EvaluationGNN Explainability

    Sapienza University of Rome, Rome, Italy · Intesa Sanpaolo AI Research, Turin, Italy · Anti Financial Crime Digital Hub, Turin, Italy +1

  19. NeSy-CSA: A Neuro-Symbolic Framework for Open-Ended Critical Scenario Attribution

    Jul 4, 2026Qitong Chu, Xunjie He, Chen Deng +2Feature AttributionNeuro-Symbolic Reasoning

    School of Automation, Beijing Institute of Technology, Beijing 100081, China · Department of Automation, Tsinghua University, Beijing 100084, China

  20. XPlainVerse: A Million-Scale Benchmark for Explainable Deepfake Detection

    Jul 3, 2026Abhijeet Narang, Kartik Kuckreja, Shreya Ghosh +3Image Forgery DetectionExplainable Deepfake Detection

    Monash University · MBZUAI · The University of Queensland

  21. AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations

    Jul 2, 2026Javier Irigoyen, Roberto Daza, Francisco Jurado +5LLM Safety BenchmarksLLM Auditing

    BiometricsAI, Universidad Aut´onoma de Madrid (UAM), Spain · GHIA, Universidad Aut´onoma de Madrid (UAM), Spain · Universidad de Las Palmas de Gran Canaria (ULPGC), Spain

  22. Bi-NAS: Towards Effective and Personalized Explanation for Recommender Systems via Bi-Level Neural Architecture Search

    Jul 1, 2026Longfeng Wu, Yao Zhou, Tong Zeng +5Recommender SystemsNeural Architecture Search

    Virginia Tech Blacksburg, VA, USA · Google Mountain View, CA, USA · Amazon Sunnyvale, CA, USA

  23. The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology

    Jul 1, 2026Andrzej Szablewski, Gabriel Konar-Steenberg, Raffaello Fornasiere +2Mechanistic InterpretabilityLanguage Model Post-Training

    1LASR Labs

  24. Shapley in Context: Explaining Financial Language with Domain Expertise

    Jul 1, 2026Dangxing Chen, Pengzhan GuoLLM InterpretabilityShapley Value Attribution

    Zu Chongzhi Center, Duke Kunshan University, Kunshan, Jiangsu, CN · Digital Innovation Research Center, Duke Kunshan University, Kunshan, Jiangsu, CN

  25. Representation as a Bottleneck for Mechanistic Interpretability: The Manifestation Unit Protocol

    Jun 30, 2026Hussein Chouman, Wataru Sasaki, Tomokazu Matsui +2Transformer InterpretabilityMechanistic Interpretability

    Ubiquitous Computing Systems Laboratory, Nara Institute of Science and Technology, Nara, Japan.

  26. Surrogate Fidelity: When Can Open LLMs Explain Closed Ones?

    Jun 30, 2026Philippe Chlenski, Zachariah Carmichael, Ayush Warikoo +5Faithfulness of Language Model ExplanationsLLM Interpretability

    1Meta.

  27. On the Faithfulness of Post-Hoc Concept Bottleneck Models

    Jun 29, 2026Laines Schmalwasser, Jan Blunk, Niklas Penzel +2Concept Bottleneck ModelsExplainability Evaluation

    Institute of Data Science, German Aerospace Center, Jena, Germany · Computer Vision Group Jena, Friedrich Schiller University Jena, Germany · GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany

  28. Does Role Specialization Matter for Explanation Faithfulness in Mixture-of-Experts?

    Jun 28, 2026Yeji Kim, Housam Babiker, Mi-Young Kim +1Multimodal Model InterpretabilityMixture-of-Experts Models

    University of Alberta, Edmonton, AB, Canada · University of Waikato, Hamilton, New Zealand · University of Alberta, Camrose, AB, Canada

  29. Reliability, Faithfulness, and the Limits of Post-hoc Explanations of Opaque Scientific Models

    Jun 28, 2026Nick Oh, Helen JinInterpretable MLScientific ML

    socius labs, London, United Kingdom · Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, United States.

  30. What LLMs explain is not what they believe: Evaluating explanation sufficiency under models' own input beliefs

    Jun 26, 2026Nhi Nguyen, Shauli Ravfogel, Rajesh RanganathLLM EvaluationLLM Interpretability

    New York University