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Interpretability

7318 directly classified papers

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Papers

Semi-supervised Concept Bottleneck Models ICCV 2025
LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025
Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability CVPR 2025
Explaining in Diffusion: Explaining a Classifier with Diffusion Semantics CVPR 2025
Interpretable Image Classification via Non-parametric Part Prototype Learning CVPR 2025
Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios ICCV 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis CVPR 2025
VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models CVPR 2025
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding ICCV 2025
Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves? CVPR 2025
Interactive Medical Image Analysis with Concept-based Similarity Reasoning CVPR 2025
Probing and Boosting Large Language Models Capabilities via Attention Heads EMNLP 2025
Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025
Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025
Language Arithmetics: Towards Systematic Language Neuron Identification and Manipulation IJCNLP 2025
Understanding and Controlling Repetition Neurons and Induction Heads in In-Context Learning IJCNLP 2025
AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025
Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers CVPR 2025
Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI CVPR 2025
Large Language Models Encode Semantics and Alignment in Linearly Separable Representations IJCNLP 2025
Interpreting the Effects of Quantization on LLMs IJCNLP 2025
NAVER: A Neuro-Symbolic Compositional Automaton for Visual Grounding with Explicit Logic Reasoning ICCV 2025
The Confidence Paradox: Can LLM Know When It’s Wrong? IJCNLP 2025
The Visual Counter Turing Test (VCT²): A Benchmark for Evaluating AI-Generated Image Detection and the Visual AI Index (V_AI) IJCNLP 2025