Machine Learning

Explainability for NLP in Pharmacovigilance: A Study on Adverse Event Report Triage in Swedish NAACL 2025 Explainability Through Human-Centric Design for XAI in Lung Cancer Detection IJCAI 2025 Explainable Automatic Fact-Checking for Journalists Augmentation in the Wild IJCAI 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks’ Internal Representations ICML 2025 Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation ACL 2025 Explainable Dynamic Graph Neural Networks for Predictive Maintenance in Vehicle Chassis Systems ACML 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 Explainable Graph Representation Learning via Graph Pattern Analysis IJCAI 2025 Explainable Neural Networks with Guarantee: A Sparse Estimation Approach AAAI 2025 Explainable Text Classification with LLMs: Enhancing Performance through Dialectical Prompting and Explanation-Guided Training EMNLP 2025 EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary ACL 2025 Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property IJCAI 2025 Explaining Differences Between Model Pairs in Natural Language through Sample Learning EMNLP 2025 Explaining Domain Shifts in Language: Concept Erasing for Interpretable Image Classification CVPR 2025 Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations ICML 2025 Explaining Holistic Essay Scores in Comparative Judgment Assessments by Predicting Scores on Rubrics ACL 2025 Explaining Human Preferences via Metrics for Structured 3D Reconstruction ICCV 2025 Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics CVPR 2025 Explaining Matters: Leveraging Definitions and Semantic Expansion for Sexism Detection ACL 2025 Explaining Relationships Among Research Papers COLING 2025 Explaining the role of Intrinsic Dimensionality in Adversarial Training ICML 2025 Explain It as Simple as Possible, but No Simpler – Explanation via Model Simplification for Addressing Inferential Gap (Abstract Reprint) IJCAI 2025 Explain-then-Process: Using Grammar Prompting to Enhance Grammatical Acceptability Judgments ACL 2025 Explain then Rank: Scale Calibration of Neural Rankers Using Natural Language Explanations from LLMs ACL 2025