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

181–210 of 5,970

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  1. SpatialSV: Internalizing Interpretable 3D Spatial Awareness in MLLMs via Task-Oriented Visual Supervision

    Jun 18, 2026Jiayu Tang, Yuchen Zhou, Chao Gou3D Spatial ReasoningSpatial Question Answering

  2. ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection

    Jun 17, 2026Jinhao Song, Shan Liang, Yiqun Yue +2DeceptionMultimodal Reasoning

  3. Theorem-Grounded Execution Ontologies for Interpretable Machine Reasoning

    Jun 14, 2026Raghu AnantharangacharReasoning GraphsSearch-Augmented Reasoning

  4. iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis

    Jun 12, 2026Farica Zhuang, Seong Woo Han, Zixuan Wen +3Survival PredictionsAlzheimer

  5. When Does Routing Become Interpretable? Causal Probes on Block Attention Residuals

    Jun 11, 2026Aydin Javadov

  6. Interpretable Neural Marked Statistics for Cosmological Inference

    Jun 9, 2026Federico Semenzato, Benjamin D. Wandelt, Michele Liguori +1CosmologyStatistical Inference

  7. Pre-AF 13: An Interpretable Atrial Fibrillation Risk Score Mined from Discharge Reports

    Jun 9, 2026Olga Shakhmatova, Dmitrii Kriukov, Daniil Larionov +10Cardiometabolic RiskAtrial Fibrillation

  8. Biological Reasoning-Informed Regression for Interpretable Regulatory DNA Activity Prediction

    Jun 6, 2026Yi Duan, Zhao Yang, Jiwei Zhu +3Gene-Regulatory NetworksBiological

  9. ERP-XTTN: Interpretable Prototype-Guided Cross-Attention for Cross-Subject ERP Classification

    Jun 1, 2026Charlotte Genevier Wyman, Leanne HirshfieldCross-Attention

  10. Learning Label-Efficient Interpretable Medical Image Diagnosis via Semi-supervised Hypergraph Concept Bottleneck Model

    Jun 1, 2026Yijun Yang, Ruiqiang Xiao, Lijie Hu +4Medical Image ClassificationMultiple Instance Learning

  11. Beyond Topical Similarity: Contrastive Evidence Retrieval with Interpretable Attention Alignment in RAG

    May 31, 2026Francielle Vargas, João Robiatti, Diego Alves +6RationalesRelation-Conditioned Evidence Encoder

  12. Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet

    May 28, 2026Adly Templeton, Tom Conerly, Jonathan Marcus +23Sparse Autoencoder FeaturesModel Interpretability

  13. Similarity-based representation factorization for revealing interpretable dimensions in representational data

    May 26, 2026Florian P. Mahner, Ka Chun Lam, Francisco Pereira +1Representational Capacity

  14. Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions

    May 22, 2026Willem Diepeveen, Deanna NeedellData-DrivenModel Interpretability

  15. SegCompass: Exploring Interpretable Alignment with Sparse Autoencoders for Enhanced Reasoning Segmentation

    May 21, 2026Zhenyu Lu, Liupeng Li, Jinpeng Wang +4Latent Representation AlignmentCompass

  16. Interpretable Discriminative Text Representations via Agreement and Label Disentanglement

    May 20, 2026Tong Wang, Yiqing Xu, Leo Yang YangAgreementContrastive

  17. A Unified Non-Parametric and Interpretable Point Cloud Analysis via t-FCW Graph Representation

    May 14, 2026Haijian Lai, Bowen Liu, Man Xu +4Graph Representation LearningGraph Representations

  18. Evidential Reasoning Advances Interpretable Real-World Disease Screening

    May 14, 2026Chenyu Lian, Hong-Yu Zhou, Jing QinScreeningEvidential Learning

  19. Semantic Feature Segmentation for Interpretable Predictive Maintenance in Complex Systems

    May 14, 2026Emilio Mastriani, Alessandro Costa, Federico Incardona +2Predictive MaintenanceModel Interpretability

  20. AttnGen: Attention-Guided Saliency Learning for Interpretable Genomic Sequence Classification

    May 13, 2026Rayhaneh Shabani Nia, Ali KarkehabadiGenomicsAttention-Guided Transunet

  21. Supervised Deep Multimodal Matrix Factorization for Interpretable Brain Network Analysis

    May 13, 2026Amjad Seyedi, Lifang He, Songlin Zhao +2Human Brain NetworksNonnegative Matrix Factorization

  22. Revealing Interpretable Failure Modes of VLMs

    May 12, 2026Isha Chaudhary, Vedaant V Jain, Kavya Sachdeva +2

  23. ProtoSSL: Interpretable Prototype Learning from Unlabeled Time-Series Data

    May 7, 2026Steven Song, Sahil Sethi, Brett Beaulieu-Jones +1Learnable PrototypesTime-Series Classification

  24. SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT

    May 4, 2026Tienyu Chang, Tianhao Li, Ruogu Fang +2Optical Coherence TomographyRetinal Imaging

  25. Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation

    Apr 29, 2026Saheed Faremi, Andrea Visentin, Luca LongoElectroencephalography Spatial Super-ResolutionVariational Autoencoder

  26. Efficient and Interpretable Transformer for Counterfactual Fairness

    Apr 29, 2026Panyi Dong, Zhiyu QuanFairness-Aware LearningCounterfactual Learning

  27. Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters

    Apr 27, 2026Takato YasunoMixture ModelsVariational Inference

  28. From Pixels to Explanations: Interpretable Diabetic Retinopathy Grading with CNN-Transformer Ensembles, Visual Explainability and Vision-Language Models

    Apr 25, 2026Pir Bakhsh Khokhar, Carmine Gravino, Fabio Palomba +2Interpretable Diabetic Retinopathy GradingRetinal Imaging

  29. Clinically Interpretable Sepsis Early Warning via LLM-Guided Simulation of Temporal Physiological Dynamics

    Apr 22, 2026Weizhi Nie, Zhen Qu, Weijie Wang +4SepsisPhysiological Data

  30. Beyond Coefficients: Forecast-Necessity Testing for Interpretable Causal Discovery in Nonlinear Time-Series Models

    Apr 20, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeCausal Foundation ModelsInterpretable Models