| UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation | Sep 28, 2022 | DiversityExplainable Recommendation | CodeCode Available | 0 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| Textual Explanations for Automated Commentary Driving | Apr 12, 2023 | Autonomous VehiclesExplanation Generation | CodeCode Available | 0 |
| XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach | Jul 16, 2024 | Data AugmentationExplanation Generation | CodeCode Available | 0 |
| Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules | Jun 1, 2020 | Explanation GenerationSemantic Segmentation | CodeCode Available | 0 |
| RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking | Jun 14, 2025 | Explanation GenerationFact Checking | CodeCode Available | 0 |
| IndMask: Inductive Explanation for Multivariate Time Series Black-Box Models | Oct 20, 2024 | Explanation GenerationTime Series | CodeCode Available | 0 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 |
| Adapting to Change: Robust Counterfactual Explanations in Dynamic Data Landscapes | Aug 4, 2023 | Binary ClassificationContrastive Learning | CodeCode Available | 0 |
| Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations | Sep 22, 2024 | Explanation GenerationRecommendation Systems | CodeCode Available | 0 |
