| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | May 21, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 | 5 |
| Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning | Jun 19, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 | 5 |
| Explainable Debugger for Black-box Machine Learning Models | Jul 18, 2021 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 0 | 5 |
| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | Dec 1, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 | 5 |
| GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs | Dec 4, 2023 | Explanation GenerationGraph Neural Network | CodeCode Available | 0 | 5 |
| A Framework for Learning Ante-hoc Explainable Models via Concepts | Aug 25, 2021 | Explainable ModelsExplanation Generation | CodeCode Available | 0 | 5 |
| Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations | Jul 23, 2022 | Decision MakingExplanation Generation | CodeCode Available | 0 | 5 |
| Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations | Mar 16, 2023 | Explanation Generation | CodeCode Available | 0 | 5 |
| ExPUNations: Augmenting Puns with Keywords and Explanations | Oct 24, 2022 | Explanation GenerationNatural Language Understanding | CodeCode Available | 0 | 5 |
| Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models | Sep 19, 2023 | Explanation GenerationLanguage Modelling | CodeCode Available | 0 | 5 |
