Interpretability

Understanding the Visual Projection Space of Multimodal LLMs WACV 2026 Unified Mixture-of-Experts Framework for Joint Cardiac and Vascular Ultrasound Analysis and Report Generation AAAI 2026 Unlocking the Black Box of Latent Reasoning: An Interpretability-Guided Approach to Intervention ACL 2026 Unraveling LLM Jailbreaks Through Safety Knowledge Neurons EACL 2026 Unveiling Decision-Making in LLMs for Text Classification : Extraction of influential and interpretable concepts with Sparse Autoencoders EACL 2026 Unveiling the Attribute Misbinding Threat in Identity-Preserving Models AAAI 2026 UQ-Bench: A Benchmark for Evaluating Multimodal LLMs on Underwater Image Quality Assessment AAAI 2026 Using Certifying Constraint Solvers for Generating Step-wise Explanations AAAI 2026 Validating Automatic Evaluation of Controllable Counterspeech Generation: Rankings Matter More Than Scores EACL 2026 Vector Quantization for Reversed Disease Progression: Further Investigations MIDL 2026 Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models AAAI 2026 VeriFlow: Modeling Distributions for Neural Network Verification AAAI 2026 Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models CVPR 2026 View-on-Graph: Zero-Shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs AAAI 2026 VisDoT : Enhancing Visual Reasoning through Human-Like Interpretation Grounding and Decomposition of Thought EACL 2026 Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering ACL 2026 Vision-Language Models Align with Human Neural Representations in Concept Processing EACL 2026 Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis AAAI 2026 VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation AAAI 2026 VLMs Guided Interpretable Decision Making in Autonomous Driving WACV 2026 Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination ACL 2026 Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding AAAI 2026 VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning AAAI 2026 Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract) AAAI 2026 Weight Space Correlation Analysis: Quantifying Feature Utilization in Deep Learning Models MIDL 2026