Interpretability

Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding AAAI 2025 Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation AAAI 2025 Learning Visual-Semantic Hierarchical Attribute Space for Interpretable Open-Set Recognition WACV 2025 LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity ICCV 2025 Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities ACL 2025 Lessons Learned in Assessing Student Reflections with LLMs ACL 2025 Let's Verify and Reinforce Image Generation Step by Step CVPR 2025 Leveraging Computer Vision and Visual LLMs for Cost-Effective and Consistent Street Food Safety Assessment in Kolkata India AAAI 2025 Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility ACL 2025 Leveraging NTPs for Efficient Hallucination Detection in VLMs AACL 2025 Leveraging Predictive Equivalence in Decision Trees ICML 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025 Leveraging What’s Overfixed: Post-Correction via LLM Grammatical Error Overcorrection EMNLP 2025 LIBA: Language Instructed Multi-granularity Bridge Assistant for 3D Visual Grounding AAAI 2025 LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions CVPR 2025 LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning ICLR 2025 Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference CVPR 2025 Lightning UQ Box: Uncertainty Quantification for Neural Networks JMLR 2025 LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning ICML 2025 Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory ICLR 2025 Linear Relational Decoding of Morphology in Language Models NAACL 2025 Linear Representations of Political Perspective Emerge in Large Language Models ICLR 2025 Linear Steerability in Language Models: When It Emerges and How It Evolves EMNLP 2025 Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting ICML 2025 Lines of Thought in Large Language Models ICLR 2025