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Showing 851–875 of 2765 papers

TitleStatusHype
A Counterfactual Explanation Framework for Retrieval Models—0
Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions—0
Using LLMs for Explaining Sets of Counterfactual Examples to Final UsersCode0
Evaluating Stability of Unreflective Alignment—0
Ensuring Equitable Financial Decisions: Leveraging Counterfactual Fairness and Deep Learning for Bias—0
DynamicRouteGPT: A Real-Time Multi-Vehicle Dynamic Navigation Framework Based on Large Language Models—0
Evaluating Alternative Training Interventions Using Personalized Computational Models of Learning—0
Aligning (Medical) LLMs for (Counterfactual) FairnessCode0
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification—0
Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language ModelsCode0
Explainable Anomaly Detection: Counterfactual driven What-If Analysis—0
NoMatterXAI: Generating "No Matter What" Alterfactual Examples for Explaining Black-Box Text Classification Models—0
Interactive Counterfactual Generation for Univariate Time Series—0
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component AnalysisCode0
Reasoning Beyond Bias: A Study on Counterfactual Prompting and Chain of Thought Reasoning—0
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series—0
Social Debiasing for Fair Multi-modal LLMs—0
Generalized Encouragement-Based Instrumental Variables for Counterfactual RegressionCode0
Counterfactual Explanations with Probabilistic Guarantees on their Robustness to Model ChangeCode0
SCENE: Evaluating Explainable AI Techniques Using Soft Counterfactuals—0
Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual ThinkingCode0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning—0
Methodological Explainability Evaluation of an Interpretable Deep Learning Model for Post-Hepatectomy Liver Failure Prediction Incorporating Counterfactual Explanations and Layerwise Relevance Propagation: A Prospective In Silico Trial—0
Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual FairnessCode0
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