model interpretability

Neural ODE Transformers: Analyzing Internal Dynamics and Adaptive Fine-tuning ICLR 2025 NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models AAAI 2025 NormXLogit: The Head-on-Top Never Lies EMNLP 2025 o-MEGA: Optimized Methods for Explanation Generation and Analysis EMNLP 2025 On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs NAACL 2025 On the reliability of feature attribution methods for speech classification Interspeech 2025 Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning COLING 2025 Region-Level Data Attribution for Text-to-Image Generative Models ICCV 2025 SAEs Are Good for Steering – If You Select the Right Features EMNLP 2025 SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning EMNLP 2025 Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization IJCAI 2025 Self-Critique and Refinement for Faithful Natural Language Explanations EMNLP 2025 Semi-supervised Concept Bottleneck Models ICCV 2025 Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity EMNLP 2025 Show and Tell: Visually Explainable Deep Neural Nets via Spatially-Aware Concept Bottleneck Models CVPR 2025 Source Attribution for Large Language Models IJCNLP 2025 Speech-Based Automatic Chronic Kidney Disease Diagnosis via Transformer Fusion of Glottal and Spectrogram Features Interspeech 2025 Start Smart: Leveraging Gradients For Enhancing Mask-based XAI Methods ICLR 2025 Steering off Course: Reliability Challenges in Steering Language Models ACL 2025 TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models ICCV 2025 The Hidden Attention of Mamba Models ACL 2025 Token-Aware Editing of Internal Activations for Large Language Model Alignment EMNLP 2025 TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability EMNLP 2025 Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025 Towards Trustable SHAP Scores AAAI 2025