| FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations | Oct 12, 2022 | counterfactualExplanation Generation | —Unverified | 0 |
| Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT | Oct 9, 2022 | Explanation Generation | CodeCode Available | 0 |
| Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology | Oct 5, 2022 | Explanation GenerationFairness | —Unverified | 0 |
| Learning to Generate Explanation from e-Hospital Services for Medical Suggestion | Oct 1, 2022 | Explanation GenerationMulti-Task Learning | CodeCode Available | 0 |
| UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation | Sep 28, 2022 | DiversityExplainable Recommendation | CodeCode Available | 0 |
| What and How of Machine Learning Transparency: Building Bespoke Explainability Tools with Interoperable Algorithmic Components | Sep 8, 2022 | Explanation Generation | —Unverified | 0 |
| RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data | Sep 5, 2022 | Anomaly DetectionExplanation Generation | —Unverified | 0 |
| INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations | Sep 2, 2022 | Decision MakingDiversity | —Unverified | 0 |
| Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems | Aug 17, 2022 | Explainable RecommendationExplanation Generation | —Unverified | 0 |
| EGCR: Explanation Generation for Conversational Recommendation | Aug 17, 2022 | Conversational RecommendationExplanation Generation | —Unverified | 0 |
