| 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 |
