model explainability

DiffusionFF: A Diffusion-based Framework for Joint Face Forgery Detection and Fine-Grained Artifact Localization CVPR 2026 EFIQA: Explainable Fundus Image Quality Assessment via Anatomical Priors MIDL 2026 Manipulating the Mind’s Eye: A-SAGE, the Attention-Based Attack on ViT Explainability AAAI 2026 mllm-shap: A Shapley Value Explainability Platform for Text-Audio Multimodal Large Language Models ACL 2026 SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification WACV 2026 HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype Detection IJCNLP 2025 Intrinsic User-Centric Interpretability through Global Mixture of Experts ICLR 2025 NeurFlow: Interpreting Neural Networks through Neuron Groups and Functional Interactions ICLR 2025 Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification IJCNLP 2025 Sensitivity Verification for Additive Decision Tree Ensembles ICLR 2025 SIC: Similarity-Based Interpretable Image Classification with Neural Networks ICCV 2025 Unraveling the Influence of Training Data and Internal Structures in Large Language Models for Enhanced Explainability (Student Abstract) AAAI 2025 Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification EMNLP 2024 GNNBoundary: Towards Explaining Graph Neural Networks through the Lens of Decision Boundaries ICLR 2024 GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks ICLR 2024 Learning Robust Rationales for Model Explainability: A Guidance-Based Approach AAAI 2024 MambaLRP: Explaining Selective State Space Sequence Models NeurIPS 2024 MedExQA: Medical Question Answering Benchmark with Multiple Explanations ACL 2024 On Measuring Faithfulness or Self-consistency of Natural Language Explanations ACL 2024 On the Interplay between Fairness and Explainability NAACL 2024 Towards Explainability in Legal Outcome Prediction Models NAACL 2024 ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation NeurIPS 2023 Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint ICLR 2023 D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion NeurIPS 2023 Explainable Text Classification via Attentive and Targeted Mixing Data Augmentation IJCAI 2023