| LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation | Jul 22, 2024 | Bayesian InferenceExplanation Generation | —Unverified | 0 |
| LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection | Sep 3, 2024 | Explanation GenerationFake News Detection | —Unverified | 0 |
| Towards LLM-guided Causal Explainability for Black-box Text Classifiers | Sep 23, 2023 | counterfactualCounterfactual Explanation | —Unverified | 0 |
| Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning | Jun 19, 2024 | counterfactualCounterfactual Explanation | CodeCode Available | 0 |
| GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs | Dec 4, 2023 | Explanation GenerationGraph Neural Network | CodeCode Available | 0 |
| T-TAME: Trainable Attention Mechanism for Explaining Convolutional Networks and Vision Transformers | Mar 7, 2024 | Explanation Generationimage-classification | CodeCode Available | 0 |
| Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models | May 15, 2024 | Explanation GenerationFact Checking | CodeCode Available | 0 |
| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | May 21, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 |
| Generating High-Quality Explanations for Navigation in Partially-Revealed Environments | Dec 1, 2021 | counterfactualExplanation Generation | CodeCode Available | 0 |
| Preference Distillation for Personalized Generative Recommendation | Jul 6, 2024 | Explanation GenerationRecommendation Systems | CodeCode Available | 0 |
