{"total":15,"rows":[{"id":"2206.11104","title":"OpenXAI: Towards a Transparent Evaluation of Model Explanations","created":"2022-06-22","cited_by_count":126,"area":null},{"id":"2212.04629","title":"Post hoc Explanations may be Ineffective for Detecting Unknown Spurious Correlation","created":"2022-12-09","cited_by_count":59,"area":null},{"id":"2206.02256","title":"Use-Case-Grounded Simulations for Explanation Evaluation","created":"2022-06-05","cited_by_count":19,"area":null},{"id":"2303.11932","title":"Studying How to Efficiently and Effectively Guide Models with Explanations","created":"2023-03-21","cited_by_count":16,"area":null},{"id":"2210.06725","title":"Assessing Out-of-Domain Language Model Performance from Few Examples","created":"2022-10-13","cited_by_count":6,"area":null},{"id":"2404.11330","title":"Toward Understanding the Disagreement Problem in Neural Network Feature Attribution","created":"2024-04-17","cited_by_count":6,"area":null},{"id":"2207.04104","title":"Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models","created":"2022-07-08","cited_by_count":5,"area":null},{"id":"2209.03433","title":"Responsibility: An Example-based Explainable AI approach via Training Process Inspection","created":"2022-09-07","cited_by_count":2,"area":null},{"id":"2306.02424","title":"Sanity Checks for Saliency Methods Explaining Object Detectors","created":"2023-06-04","cited_by_count":2,"area":null},{"id":"2505.13100","title":"Time series saliency maps: explaining models across multiple domains","created":"2025-05-19","cited_by_count":2,"area":null},{"id":"2404.10387","title":"CNN-based explanation ensembling for dataset, representation and explanations evaluation","created":"2024-04-16","cited_by_count":1,"area":null},{"id":"2510.25512","title":"FaCT: Faithful Concept Traces for Explaining Neural Network Decisions","created":"2025-10-29","cited_by_count":1,"area":null},{"id":"2602.08715","title":"Exploring SAIG Methods for an Objective Evaluation of XAI","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2309.14715","title":"Explaining Deep Face Algorithms through Visualization: A Survey","created":"2023-09-26","cited_by_count":0,"area":null},{"id":"2506.14217","title":"TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift","created":"2025-06-17","cited_by_count":0,"area":null}],"next_cursor":null}