explanation faithfulness

Measuring the (Un)Faithfulness of Concept-Based Explanations CVPR 2026 A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations EMNLP 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations ICCV 2025 Self-Critique and Refinement for Faithful Natural Language Explanations EMNLP 2025 Transparent Trade-offs between Properties of Explanations UAI 2025 Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations ICLR 2025 A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models EACL 2024 Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models NAACL 2024 Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations AAAI 2024 Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers AISTATS 2024 On Measuring Faithfulness or Self-consistency of Natural Language Explanations ACL 2024 On the Faithfulness of Vision Transformer Explanations CVPR 2024 Quantifying Uncertainty in Natural Language Explanations of Large Language Models AISTATS 2024 Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering EMNLP 2024 LEXPLAIN: Improving Model Explanations via Lexicon Supervision ACL 2023 Framework for Evaluating Faithfulness of Local Explanations ICML 2022 Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification ACL 2021 Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? EMNLP 2020 Towards Robust Interpretability with Self-Explaining Neural Networks NeurIPS 2018