conftrace_

post-hoc explanation

48 papers

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Co-occurring keywords

model interpretability (519) feature attribution (280) explainable ai (480) model explanation (155) neural network (6616) large language model (13587) graph neural network (3962) convolutional neural network (4226) saliency map (125) text classification (6793)

Papers

Revitalizing Black-Box Interpretability: Actionable Interpretability for LLMs via Proxy Models ACL 2026
SoftCAM: Making black box models self-explainable for medical image analysis MIDL 2026
Faithful Serum: Mitigating the Faithfulness Gap in Textual Explanations of LLM Decisions via Attribution Guidance ACL 2026
From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context ACL 2026
Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier AAAI 2026
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes AAAI 2026
Explanations for Multi-Agent Reinforcement Learning AAAI 2025
Listenable Maps for Zero-Shot Audio Classifiers NIPS 2024
Improving Explainable Fact-Checking via Sentence-Level Factual Reasoning EMNLP 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods AAAI 2024
Factorized Explainer for Graph Neural Networks AAAI 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer CVPR 2024
Boundary-Aware Uncertainty for Feature Attribution Explainers AISTATS 2024
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers AISTATS 2024
The Role of Syntactic Span Preferences in Post-Hoc Explanation Disagreement COLING 2024
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach EMNLP 2024
Semi-factual Explanations in AI AAAI 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification IJCAI 2024
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction EACL 2023
When are post-hoc conceptual explanations identifiable? UAI 2023
Advancing Post-Hoc Case-Based Explanation with Feature Highlighting IJCAI 2023
Eliminating the Impossible, Whatever Remains Must Be True: On Extracting and Applying Background Knowledge in the Context of Formal Explanations AAAI 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability NIPS 2023
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis NIPS 2023