Search research

Topics & fields

Mechanistic Interpretability434 papersModel Interpretability269 papersMechanistic Interpretability158 papersInterpretable Models38 papersInterpretable Diabetic Retinopathy Grading25 papersInterpretive Openness25 papers

121–150 of 5,970

Papers

CardsList

  1. Mechanistic Interpretability-Guided Selective Fine-Tuning of Vision-Language Models for Centimeter-Level Flood Depth Estimation

    Aug 2, 2026Nafis Fuad, Xiaodong Qian, Dongxiao ZhuSen1Floods11Accurate Flood Prediction

  2. KANEx: Translating Kolmogorov-Arnold Networks' Interpretability to Medical Explainability

    Jul 27, 2026Krithi Shailya, Ananya Lakshmi Ravi, Venkatanathan K. V. +4Medical Vision-Language ModelsExplainability

  3. Interior interpretability with attention rollout: contraction and propagation profiles in Transformers

    Jul 24, 2026Umberto Biccari, Qian Huang, Enrique ZuazuaTransformer AttentionModel Interpretability

  4. AIMO Interpretability Challenge

    Jul 15, 2026Michal Štefánik, Philipp Mondorf, Andreas Waldis +11Mathematical ReasoningOlympiad-Level Problem

  5. Driving the Wrong Way: Leveraging Interpretability in End2End Autonomous Driving Models

    Jul 7, 2026Franz Motzkus, Sebastian BernhardAutonomous DrivingModel Interpretability

  6. Evaluating the Interpretability of Sparse Autoencoders with Concept Annotations

    Jun 23, 2026Jonas Klotz, Cassio F. Dantas, Pallavi Jain +2Improving Sparse AutoencodersSemantic Representations

  7. Clusters are All You Need: Pre-Training the Tsetlin Machine with Semantic Clusters from Language Models for Interpretability

    Jun 18, 2026Jiechao Gao, Rohan Kumar Yadav, Yuangang Li +4Bert-Based ModelsModel Interpretability

  8. Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal

    Jun 10, 2026Leon Bergen, Usha Bhalla, Sidharth Baskaran +14LLM Post-Training MethodsModel Interpretability

  9. Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention

    May 31, 2026Shuochen Chang, Tong Bai, Xiaofeng Zhang +5Efficient Latent ReasoningBlack Box

  10. When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers

    May 25, 2026Aditya SridharConcept Bottleneck ModelsModel Interpretability

  11. Beyond Accuracy: Robustness, Interpretability and Expressiveness of EEG Foundation Models

    May 17, 2026Urban Širca, Maryam Alimardani, Stefanos Zafeiriou +1Electroencephalography Foundation ModelsWireless Foundation Models

  12. A Distributional View for Visual Mechanistic Interpretability: KL-Minimal Soft-Constraint Principle

    May 17, 2026Guancheng Zhou, Yisi Luo, Zhengfu He +5Mechanistic InterpretabilityModel Interpretability

  13. Systematic Evaluation of Vision Transformers for Automated Cervical Cancer Classification: Optimization, Statistical Validation, and Clinical Interpretability

    May 17, 2026Nisreen Albzour, Sarah S. LamNon-Small Cell Lung CancerVision Transformer

  14. Exemplar Partitioning for Mechanistic Interpretability

    May 14, 2026Jessica RumbelowModel ActivationsMechanistic Interpretability

  15. Metonymy in vision models undermines attention-based interpretability

    May 7, 2026Ananthu Aniraj, Cassio F. Dantas, Dino Ienco +2Model InterpretabilityVision Foundation Models

  16. Understanding Annotator Safety Policy with Interpretability

    May 6, 2026Alex Oesterling, Donghao Ren, Yannick Assogba +4Human AnnotatorsArtificial Intelligence Safety

  17. SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation

    Apr 28, 2026Ali Karkehabadi, Jamshid Hassanpour, Houman Homayoun +1SaliencyModel Interpretability

  18. Improving clinical interpretability of linear neuroimaging models through feature whitening

    Apr 22, 2026Sara Petiton, Antoine Grigis, Raphaël Vock +1Neuroimaging ModelsModel Interpretability

  19. Mechanistic Interpretability Tool for AI Weather Models

    Apr 22, 2026Kirsten I. Tempest, Matthias Beylich, George C. CraigArtificial Intelligence Weather ModelsMechanistic Interpretability

  20. Towards Intrinsic Interpretability of Large Language Models:A Survey of Design Principles and Architectures

    Apr 17, 2026Yutong Gao, Qinglin Meng, Yuan Zhou +1Model InterpretabilityExplainable Artificial Intelligence

  21. From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents

    Mar 27, 2026Trilok Padhi, Ramneet Kaur, Krishiv Agarwal +9Large Language Model AgentsConformal Inference

  22. Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

    Mar 8, 2025Thomas Winninger, Boussad Addad, Katarzyna KapustaLanguage Model Evasion AttacksMechanistic Interpretability

  23. SkillEval: Decomposing Agent Skill Quality into Interpretable Signals

    Aug 7, 2026Jiahui Han, Qinuo Li, Ziheng Peng +6Agent Skill EcosystemsSkillaudit

  24. Combining Hierarchical Cognitive Process with Process Supervision for Interpretable Scene Safety Understanding

    Sep 22, 2026Zhiyun Jiang, Hanyong Wang, Binbin Liang +4Scene RepresentationMultimodal Reasoning

  25. Interpretable Multi-Instance Learning Enables Early Prediction of Key Molecular Alterations from Routine Flow Cytometry in Acute Myeloid Leukemia

    Sep 16, 2026Jonathan Legrand, Aguirre Mimoun, Baudouin Denis de Senneville +3Acute Myeloid LeukemiaMultiple Instance Learning

  26. Decoding Extrahepatic Targeting of Lipid Nanoparticles with Interpretable Machine Learning

    Sep 15, 2026Asal Mehradfar, Mohammad Shahab Sepehri, Owen Antholine +4Drug-Drug InteractionsMolecular Property Prediction

  27. Splitting the Difference: Interpretable Causal Forests for Treatment Effect Heterogeneity and Bias

    Sep 15, 2026Nicolas Alexander Ihlo, Merle BehrHeterogeneous Treatment EffectsRandom Forest

  28. Data storytelling meets interpretable machine learning: Decoding AI decisions for non-experts without revealing sensitive data and model details

    Sep 14, 2026Lemen Chao, Zixuan Yang, Anran Fang +2Model InterpretabilityExperts

  29. CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech

    Sep 13, 2026Madhurananda Pahar, Caitlin Illingworth, Dorota Braun +2Mild Cognitive ImpairmentCross-Modal Attention

  30. Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

    Sep 12, 2026Kan Wei, Jiahui Cui, Jing Yao +3Multimodal FusionHyperspectral Imaging