natural language explanation

Faithfulness Tests for Natural Language Explanations ACL 2023 FLamE: Few-shot Learning from Natural Language Explanations ACL 2023 HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs AAAI 2023 KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations ACL 2023 Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making EMNLP 2023 MaNtLE: Model-agnostic Natural Language Explainer EMNLP 2023 Rigorously Assessing Natural Language Explanations of Neurons EMNLP 2023 S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning CVPR 2023 Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods ACL 2023 WikiWhy: Answering and Explaining Cause-and-Effect Questions ICLR 2023 Zero-Shot Classification by Logical Reasoning on Natural Language Explanations ACL 2023 ALLURE: A Multi-Modal Guided Environment for Helping Children Learn to Solve a Rubik’s Cube with Automatic Solving and Interactive Explanations AAAI 2022 Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations EMNLP 2022 CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations ACL 2022 Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection IJCAI 2022 e-CARE: a New Dataset for Exploring Explainable Causal Reasoning ACL 2022 EPT-X: An Expression-Pointer Transformer model that generates eXplanations for numbers ACL 2022 ExPUNations: Augmenting Puns with Keywords and Explanations EMNLP 2022 Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup EMNLP 2022 Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations ICML 2022 Model Distillation for Faithful Explanations of Medical Code Predictions ACL 2022 NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks CVPR 2022 Towards Transparent Interactive Semantic Parsing via Step-by-Step Correction ACL 2022 E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks ICCV 2021 Generating High-Quality Explanations for Navigation in Partially-Revealed Environments NeurIPS 2021