Interpretability

ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression MLHC 2025 A Diagnostic Framework for Auditing Reference-Free Vision-Language Metrics IJCNLP 2025 Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations ICML 2025 Advancing Fine-Grained Visual Understanding with Multi-Scale Alignment in Multi-Modal Models EMNLP 2025 Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets ICML 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings ICLR 2025 Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian ICML 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025 AERA Chat: An Interactive Platform for Automated Explainable Student Answer Assessment EMNLP 2025 Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models WACV 2025 AGCL: Aspect Graph Construction and Learning for Aspect-level Sentiment Classification COLING 2025 A General Framework for Producing Interpretable Semantic Text Embeddings ICLR 2025 AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories EMNLP 2025 Agent Trajectory Explorer: Visualizing and Providing Feedback on Agent Trajectories AAAI 2025 Aggregated Attributions for Explanatory Analysis of 3D Segmentation Models WACV 2025 Aggregation Artifacts in Subjective Tasks Collapse Large Language Models’ Posteriors NAACL 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models EMNLP 2025 A Group Fairness Lens for Large Language Models EMNLP 2025 A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs EMNLP 2025 AI2TALE: An Innovative Information Theory-based Approach for Learning to Localize Phishing Attacks ICLR 2025 AI Argues Differently: Distinct Argumentative and Linguistic Patterns of LLMs in Persuasive Contexts EMNLP 2025 AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems IJCAI 2025 AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models ICCV 2025