explainable ai

Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation AACL 2025 CSECU-Learners at SemEval-2025 Task 9: Enhancing Transformer Model for Explainable Food Hazard Detection in Text SemEval 2025 Data Descriptions from Large Language Models with Influence Estimation EMNLP 2025 DecepBench: Benchmarking Multimodal Deception Detection ACL 2025 Depression Detection on Social Media with Large Language Models EMNLP 2025 Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025 DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences CVPR 2025 Diffusion Models for Attribution AAAI 2025 DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection WACV 2025 DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document Understanding ICCV 2025 Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces AAAI 2025 EMaP: Explainable AI with Manifold-based Perturbations JMLR 2025 ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 Even-if Explanations: Formal Foundations, Priorities and Complexity AAAI 2025 EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction AAAI 2025 EXPERT: An Explainable Image Captioning Evaluation Metric with Structured Explanations ACL 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025 Explainable ICD Coding via Entity Linking NAACL 2025 Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025 Explaining Decisions of Agents in Mixed-Motive Games AAAI 2025 Explaining Negative Classifications of AI Models in Tumor Diagnosis UAI 2025 Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract) AAAI 2025 Extracting PAC Decision Trees from Black Box Binary Classifiers: The Gender Bias Study Case on BERT-based Language Models AAAI 2025 Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025