| 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 |
| Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives | Aug 2, 2022 | Explanation GenerationQuestion Answering | —Unverified | 0 |
| Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations | Jul 23, 2022 | Decision MakingExplanation Generation | CodeCode Available | 0 |
| Creating an Explainable Intrusion Detection System Using Self Organizing Maps | Jul 15, 2022 | Explainable artificial intelligenceExplainable Artificial Intelligence (XAI) | —Unverified | 0 |
| NN2Rules: Extracting Rule List from Neural Networks | Jul 4, 2022 | Decision MakingExplainable artificial intelligence | CodeCode Available | 0 |
| M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems | May 17, 2022 | Computational EfficiencyConversational Recommendation | —Unverified | 0 |
| Textual Explanations and Critiques in Recommendation Systems | May 15, 2022 | Explanation GenerationRecommendation Systems | —Unverified | 0 |
| Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation | May 1, 2022 | Explanation GenerationRecommendation Systems | —Unverified | 0 |
| Improving Personalized Explanation Generation through Visualization | May 1, 2022 | DiversityExplainable Recommendation | —Unverified | 0 |
| Explainable Assessment of Healthcare Articles with QA | May 1, 2022 | ArticlesExplanation Generation | —Unverified | 0 |
| Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes | Apr 16, 2022 | Explanation GenerationMulti-hop Question Answering | —Unverified | 0 |
| E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning | Mar 16, 2022 | Explanation GenerationQuestion Answering | —Unverified | 0 |
| Counterfactual Explanations for Predictive Business Process Monitoring | Feb 24, 2022 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Best of Both Worlds: A Hybrid Approach for Multi-Hop Explanation with Declarative Facts | Dec 17, 2021 | Explanation GenerationRetrieval | —Unverified | 0 |
| Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing | Dec 13, 2021 | Explanation GenerationExtractive Summarization | —Unverified | 0 |
| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | Dec 1, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 |
