| Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models | May 22, 2023 | Conversational RecommendationExplanation Generation | CodeCode Available | 1 | 5 |
| Retrieval augmentation of large language models for lay language generation | Nov 7, 2022 | Explanation GenerationRetrieval | CodeCode Available | 1 | 5 |
| Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations | Dec 8, 2022 | Explanation GenerationVisual Entailment | CodeCode Available | 1 | 5 |
| HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-Checking | Sep 15, 2023 | Claim VerificationExplanation Generation | CodeCode Available | 1 | 5 |
| End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models | May 25, 2022 | ArticlesClaim Verification | CodeCode Available | 1 | 5 |
| CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations | Apr 5, 2022 | Explanation GenerationQuestion Answering | CodeCode Available | 1 | 5 |
| CodeExp: Explanatory Code Document Generation | Nov 25, 2022 | Explanation GenerationText Generation | CodeCode Available | 1 | 5 |
| A Survey on Interpretable Cross-modal Reasoning | Sep 5, 2023 | Cross-Modal RetrievalDecision Making | CodeCode Available | 1 | 5 |
| Explainable Automated Fact-Checking for Public Health Claims | Oct 19, 2020 | Explanation GenerationFact Checking | CodeCode Available | 1 | 5 |
| Advisable Learning for Self-Driving Vehicles by Internalizing Observation-to-Action Rules | Jun 1, 2020 | Explanation GenerationSemantic Segmentation | CodeCode Available | 0 | 5 |
