explainable ai

Towards Trustable SHAP Scores AAAI 2025 Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments AAAI 2025 TRACE-CS: A Synergistic Approach to Explainable Course Scheduling Using LLMs and Logic AAAI 2025 TRUST-VL: An Explainable News Assistant for General Multimodal Misinformation Detection EMNLP 2025 Understanding Figurative Meaning through Explainable Visual Entailment NAACL 2025 VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence AAAI 2025 Visual Analytics for Guiding Feature Attribution Method Selection IJCAI 2025 Where, What, Why: Towards Explainable Driver Attention Prediction ICCV 2025 Who’s the Author? How Explanations Impact User Reliance in AI-Assisted Authorship Attribution EMNLP 2025 Why the Agent Made that Decision: Contrastive Explanation Learning for Reinforcement Learning IJCAI 2025 XDAC: XAI-Driven Detection and Attribution of LLM-Generated News Comments in Korean ACL 2025 ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments IJCAI 2024 A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion EACL 2024 A Little of That Human Touch: Achieving Human-Centric Explainable AI via Argumentation IJCAI 2024 An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records EMNLP 2024 Autonomous Policy Explanations for Effective Human-Machine Teaming AAAI 2024 AXCEL: Automated eXplainable Consistency Evaluation using LLMs EMNLP 2024 Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring EMNLP 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024 Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: A Case Study on Hateful Memes COLING 2024 CGS-Mask: Making Time Series Predictions Intuitive for All AAAI 2024 ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs EMNLP 2024 Computing the Why-Provenance for Datalog Queries via SAT Solvers AAAI 2024 Considering Human Interaction and Variability in Automatic Text Simplification EMNLP 2024 Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint) AAAI 2024