natural language explanation

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025 Towards Efficient and Robust VQA-NLE Data Generation with Large Vision-Language Models COLING 2025 Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models EMNLP 2025 Zero-Shot Natural Language Explanations ICLR 2025 CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures EMNLP 2024 ChatGPT Rates Natural Language Explanation Quality like Humans: But on Which Scales? COLING 2024 DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers EMNLP 2024 Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations ICML 2024 EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification ACL 2024 Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach EMNLP 2024 GEE! Grammar Error Explanation with Large Language Models NAACL 2024 Inference to the Best Explanation in Large Language Models ACL 2024 Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024 Parameter-Efficient Generation of Natural Language Explanations for Chest X-ray Classification MIDL 2024 RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering ICLR 2024 Reasoning with Natural Language Explanations EMNLP 2024 SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations ACL 2024 SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization EMNLP 2024 Towards Explainable Evaluation Metrics for Machine Translation JMLR 2024 Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024 Using Natural Language Explanations to Improve Robustness of In-context Learning ACL 2024 Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations ACL 2023 Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture EMNLP 2023 Explaining Data Patterns in Natural Language with Language Models EMNLP 2023 Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction ACL 2023