Interpretability

CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering CVPR 2026 Cell-Based Representation of Relational Binding in Language Models ACL 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 Challenging the Explanation Based on Preceding Tokens: Discovering Transferable Non-Literal Biasing ACL 2026 CharBench: Evaluating the Role of Tokenization in Character-Level Tasks AAAI 2026 ChartQA-X: Generating Explanations for Visual Chart Reasoning WACV 2026 Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs AAAI 2026 CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations EACL 2026 CIGMA: Causal Information-Gain Mechanistic Attribution of Attention Heads in Vision Transformers CVPR 2026 CIP-Net: Continual Interpretable Prototype-based Network AAAI 2026 Circuit Mechanisms for Spatial Relation Generation in Diffusion Transformers CVPR 2026 CLARIESG: An End-to-End System for ESG Analysis over Complex Tables in Corporate Reports EACL 2026 CLEAR: Error Analysis via LLM-as-a-Judge Made Easy AAAI 2026 CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records AAAI 2026 Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support AAAI 2026 CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing AAAI 2026 CLUENet: Cluster Attention Makes Neural Networks Have Eyes AAAI 2026 CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs AAAI 2026 Cognitive Effects and Biases in Large Language Models EACL 2026 Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms AAAI 2026 Computing Syntax Tree-based Minimal Unsatisfiable Cores of LTLf Formulas AAAI 2026 Concept Regions Matter: Benchmarking CLIP with a New Cluster-Importance Approach CVPR 2026 Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models AAAI 2026 Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations AAAI 2026 Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI AAAI 2026