| COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation | Oct 14, 2022 | counterfactualCounterfactual Inference | —Unverified | 0 |
| Explanations from Large Language Models Make Small Reasoners Better | Oct 13, 2022 | Explanation GenerationIn-Context Learning | —Unverified | 0 |
| FASTER-CE: Fast, Sparse, Transparent, and Robust Counterfactual Explanations | Oct 12, 2022 | counterfactualExplanation Generation | —Unverified | 0 |
| Formal Semantic Geometry over Transformer-based Variational AutoEncoder | Oct 12, 2022 | DisentanglementExplanation 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 |
| Explaining Patterns in Data with Language Models via Interpretable Autoprompting | Oct 4, 2022 | Explanation GenerationNatural Language Understanding | CodeCode Available | 1 |
| 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 |
| Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual Explanations | Sep 8, 2022 | Attributecounterfactual | CodeCode Available | 1 |
