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conftrace_

attribution method

85 papers

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