{"total":16,"rows":[{"id":"2502.00837","title":"Explainability in Practice: A Survey of Explainable NLP Across Various Domains","created":"2025-02-02","cited_by_count":11,"area":null},{"id":"2601.20815","title":"GNN Explanations that do not Explain and How to find Them","created":"2026-01-28","cited_by_count":5,"area":null},{"id":"2505.12507","title":"Towards Structurally Explainable Machine-Generated Text Detection: A Graph-Perspective Framework","created":"2025-05-18","cited_by_count":1,"area":null},{"id":"2607.28124","title":"Information Bottleneck Learning for Faithful Time Series Forecasting Explanations","created":"2026-07-30","cited_by_count":1,"area":null},{"id":"2508.10482","title":"When Explainability Meets Privacy: An Investigation at the Intersection of Post-hoc Explainability and Differential Privacy in the Context of Natural Language Processing","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2510.01038","title":"Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2603.18247","title":"AGRI-Fidelity: Evaluating the Reliability of Listenable Explanations for Poultry Disease Detection","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2603.18579","title":"ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2603.24524","title":"No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2604.04456","title":"Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2604.22018","title":"Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2604.22540","title":"On the Properties of Feature Attribution for Supervised Contrastive Learning","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2605.16905","title":"AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.18681","title":"Learning Quantifiable Visual Explanations Without Ground-Truth","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2608.25897","title":"Towards A Unified Information Bottleneck Framework for Time Series Explanations","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2610.12493","title":"Faithfulness Without Anchors: A Position Paper on the Structural Misalignments of Explainable AI Faithfulness Metrics for Feature Importance","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}