counterfactual explanation

iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback AAAI 2025 JoPA: Explaining Large Language Model’s Generation via Joint Prompt Attribution ACL 2025 LLMs Don’t Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations EMNLP 2025 Looking in the Mirror: A Faithful Counterfactual Explanation Method for Interpreting Deep Image Classification Models ICCV 2025 Natural Language Counterfactual Explanations for Graphs Using Large Language Models AISTATS 2025 Natural Language Counterfactual Explanations in Financial Text Classification: A Comparison of Generators and Evaluation Metrics ACL 2025 NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models AAAI 2025 Outcome-Based Semifactuals for Reinforcement Learning ACML 2025 RobustX: Robust Counterfactual Explanations Made Easy IJCAI 2025 S-CFE: Simple Counterfactual Explanations AISTATS 2025 Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition CVPR 2025 Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments AAAI 2025 A General Search-Based Framework for Generating Textual Counterfactual Explanations AAAI 2024 Are self-explanations from Large Language Models faithful? ACL 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties NeurIPS 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024 CF-OPT: Counterfactual Explanations for Structured Prediction ICML 2024 CMACE: CMAES-based Counterfactual Explanations for Black-box Models IJCAI 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024 Counterfactual Metarules for Local and Global Recourse ICML 2024 DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations MIDL 2024 DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations CVPR 2024 Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024 Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes AAAI 2024 Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals ICLR 2024