| Generating Natural Language Explanations for Visual Question Answering using Scene Graphs and Visual Attention | Feb 15, 2019 | Explanation GenerationLanguage Modeling | —Unverified | 0 | 0 |
| Generating Robust Counterfactual Witnesses for Graph Neural Networks | Apr 30, 2024 | counterfactualExplanation Generation | —Unverified | 0 | 0 |
| Generating Skyline Explanations for Graph Neural Networks | May 12, 2025 | Explanation Generation | —Unverified | 0 | 0 |
| Towards Human Cognition Level-based Experiment Design for Counterfactual Explanations (XAI) | Oct 31, 2022 | counterfactualExplainable artificial intelligence | —Unverified | 0 | 0 |
| A Framework for Rationale Extraction for Deep QA models | Oct 9, 2021 | Explanation GenerationQuestion Answering | —Unverified | 0 | 0 |
| Graph-Guided Textual Explanation Generation Framework | Dec 16, 2024 | Explanation GenerationGraph Neural Network | —Unverified | 0 | 0 |
| Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification | May 9, 2025 | Explanation GenerationIn-Context Learning | —Unverified | 0 | 0 |
| CLEAR: Generative Counterfactual Explanations on Graphs | Oct 16, 2022 | counterfactualCounterfactual Explanation | —Unverified | 0 | 0 |
| ChartQA-X: Generating Explanations for Charts | Apr 17, 2025 | Decision MakingExplanation Generation | —Unverified | 0 | 0 |
| Hierarchical Aspect-guided Explanation Generation for Explainable Recommendation | Oct 20, 2021 | DecoderExplainable Recommendation | —Unverified | 0 | 0 |
