| 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 |
| A Deep Generative XAI Framework for Natural Language Inference Explanations Generation | Nov 16, 2021 | Decision MakingExplainable artificial intelligence | —Unverified | 0 |
| E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning | Nov 16, 2021 | Explanation GenerationQuestion Answering | —Unverified | 0 |
| Counterfactual Explanations for Models of Code | Nov 10, 2021 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| Parameterized Explanations for Investor / Company Matching | Oct 27, 2021 | AI AgentDecision Making | —Unverified | 0 |
| Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation | Oct 20, 2021 | DecoderExplainable Recommendation | —Unverified | 0 |
| Explainable Assessment of Healthcare Articles with QA | Oct 16, 2021 | ArticlesExplanation Generation | —Unverified | 0 |
| A Framework for Rationale Extraction for Deep QA models | Oct 9, 2021 | Explanation GenerationQuestion Answering | —Unverified | 0 |
| Truth Table Deep Convolutional Neural Network, A New SAT-Encodable Architecture - Application To Complete Robustness | Sep 29, 2021 | Explainable Artificial Intelligence (XAI)Explanation Generation | —Unverified | 0 |
| Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic | Sep 18, 2021 | Explanation GenerationLogical Reasoning | CodeCode Available | 0 |
| CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations | Sep 15, 2021 | counterfactualExplanation Generation | —Unverified | 0 |
| Diagnostics-Guided Explanation Generation | Sep 8, 2021 | DiagnosticExplanation Generation | —Unverified | 0 |
| Are Training Resources Insufficient? Predict First Then Explain! | Aug 29, 2021 | Decision MakingExplanation Generation | —Unverified | 0 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 |
| Explanations for CommonsenseQA: New Dataset and Models | Aug 1, 2021 | Common Sense ReasoningExplanation Generation | —Unverified | 0 |
| Automatic Claim Review for Climate Science via Explanation Generation | Jul 30, 2021 | DecoderExplanation Generation | —Unverified | 0 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 |
| How to Do Human Evaluation: Best Practices for User Studies in NLP | Jul 17, 2021 | Explanation GenerationMachine Translation | —Unverified | 0 |
| Not all users are the same: Providing personalized explanations for sequential decision making problems | Jun 23, 2021 | AllClustering | —Unverified | 0 |
| An Information Retrieval Approach to Building Datasets for Hate Speech Detection | Jun 17, 2021 | Active LearningExplanation Generation | CodeCode Available | 0 |
| Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach | Jun 15, 2021 | Explanation GenerationInductive logic programming | —Unverified | 0 |
| A Three-step Method for Multi-Hop Inference Explanation Regeneration | Jun 1, 2021 | Explanation GenerationRe-Ranking | —Unverified | 0 |
| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | May 21, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 |
| A Framework of Explanation Generation toward Reliable Autonomous Robots | May 6, 2021 | Decision MakingExplanation Generation | —Unverified | 0 |
| Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards | May 5, 2021 | Explanation Generationvalid | —Unverified | 0 |
| Explanation as a Defense of Recommendation | Jan 24, 2021 | Explanation Generation | —Unverified | 0 |