Co-occurring keywords · papers mentioning both
Papers
A Causal Lens for Evaluating Faithfulness Metrics
EMNLP 2025
FADE: Why Bad Descriptions Happen to Good Features
ACL 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attributions Explainability
ACL 2025
Towards Attributions of Input Variables in a Coalition
ICML 2025
Pre-trained Language Models Return Distinguishable Probability Distributions to Unfaithfully Hallucinated Texts
EMNLP 2024
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
ACL 2024
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models
ACL 2024
A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization
MLHC 2023
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
ACL 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics
ACL 2023
A Comparative Study of Faithfulness Metrics for Model Interpretability Methods
ACL 2022
How (Un)Faithful is Attention?
EMNLP 2022