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Interpretability

349 directly classified papers

Papers per year

Papers

ProtoLens: Advancing Prototype Learning for Fine-Grained Interpretability in Text Classification ACL 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory ACL 2025
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint AAAI 2025
No Questions are Stupid, but some are Poorly Posed: Understanding Poorly-Posed Information-Seeking Questions ACL 2025
Neural Reasoning for Sure Through Constructing Explainable Models AAAI 2025
Accurate Estimation of Feature Importance Faithfulness for Tree Models AAAI 2025
Towards Trustable SHAP Scores AAAI 2025
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations AAAI 2025
Probabilistic Explanations for Linear Models AAAI 2025
Interpretable Failure Detection with Human-Level Concepts AAAI 2025
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery AAAI 2025
BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation AAAI 2025
Even-if Explanations: Formal Foundations, Priorities and Complexity AAAI 2025
Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks AAAI 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025
Explainable Neural Networks with Guarantee: A Sparse Estimation Approach AAAI 2025
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition AAAI 2025
ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques AAAI 2025
Higher Order Structures for Graph Explanations AAAI 2025
Functional Connectomes of Neural Networks AAAI 2025
InteDisUX: Intepretation-Guided Discriminative User-Centric Explanation for Time Series AAAI 2025
Beyond Accuracy: On the Effects of Fine-Tuning Towards Vision-Language Model’s Prediction Rationality AAAI 2025
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation AAAI 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning CVPR 2025
Using Shapley interactions to understand how models use structure ACL 2025