{"total":16,"rows":[{"id":"2501.15638","title":"A Comprehensive Survey on Self-Interpretable Neural Networks","created":"2025-01-26","cited_by_count":18,"area":null},{"id":"2410.09045","title":"MiRAGeNews: Multimodal Realistic AI-Generated News Detection","created":"2024-10-11","cited_by_count":15,"area":null},{"id":"2508.08274","title":"Distilling Knowledge from Large Language Models: A Concept Bottleneck Model for Hate and Counter Speech Recognition","created":"2025-07-30","cited_by_count":5,"area":null},{"id":"2502.13632","title":"Concept Layers: Enhancing Interpretability and Intervenability via LLM Conceptualization","created":"2025-02-19","cited_by_count":2,"area":null},{"id":"2503.06730","title":"Adaptive Test-Time Intervention for Concept Bottleneck Models","created":"2025-03-09","cited_by_count":2,"area":null},{"id":"2511.11883","title":"ClinStructor: AI-Powered Structuring of Unstructured Clinical Texts","created":"2025-11-14","cited_by_count":1,"area":null},{"id":"2605.21455","title":"Mitigating Label Bias with Interpretable Rubric Embeddings","created":"2026-05-20","cited_by_count":1,"area":null},{"id":"2508.05581","title":"Iterative Learning of Computable Phenotypes for Treatment Resistant Hypertension using Large Language Models","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2512.03578","title":"When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate","created":"2025-12-03","cited_by_count":0,"area":null},{"id":"2512.24834","title":"GenZ: Foundational models as latent variable generators within traditional statistical models","created":"2025-12-31","cited_by_count":0,"area":null},{"id":"2602.04607","title":"Focus-LIME: Surgical Interpretation of Long-Context Large Language Models via Proxy-Based Neighborhood Selection","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2604.24170","title":"Credal Concept Bottleneck Models for Epistemic-Aleatoric Uncertainty Decomposition","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.20693","title":"Interpretable Discriminative Text Representations via Agreement and Label Disentanglement","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2608.17063","title":"J-Miner: Recovering the Decision Logic of Fine-Tuned LLM Classifiers as Compact Rules","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.27043","title":"EduBehaviors: Assertion-based Schemas for Auditable Coding of Educational Dialogues","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2610.08552","title":"AnyBottle: A Recipe to Only Keep the Concepts You Really Need","created":"2026-10-06","cited_by_count":0,"area":null}],"next_cursor":null}