Co-occurring keywords · papers mentioning both
Papers
Faithful Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance
ACL 2026
Interpreto: An Explainability Library for Transformers
ACL 2026
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition
WACV 2025
Explanation Regularisation through the Lens of Attributions
COLING 2025
Four Axiomatic Characterizations of the Integrated Gradients Attribution Method
JMLR 2025
Generating Visual Explanations from Deep Networks using Implicit Neural Representations
WACV 2025
How to Probe: Simple Yet Effective Techniques for Improving Post-hoc Explanations
ICLR 2025
LAQuer: Localized Attribution Queries in Content-grounded Generation
ACL 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
CVPR 2025
Metric-Driven Attributions for Vision Transformers
ICLR 2025
Multi-Level Explanations for Generative Language Models
ACL 2025
Statistical Significance of Feature Importance Rankings
UAI 2025
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
ICML 2025
Approximate Attributions for Off-the-Shelf Siamese Transformers
EACL 2024
AttEXplore: Attribution for Explanation with model parameters eXploration
ICLR 2024
Causal Analysis for Robust Interpretability of Neural Networks
WACV 2024
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
EMNLP 2024
Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model
NeurIPS 2024
Improving LLM Attributions with Randomized Path-Integration
EMNLP 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
EMNLP 2024
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks
AAAI 2024
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
ICML 2024
A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation
NeurIPS 2023
A Practical Upper Bound for the Worst-Case Attribution Deviations
CVPR 2023
Assessing Word Importance Using Models Trained for Semantic Tasks
ACL 2023