Causal Inference

Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction AAAI 2026 CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos AAAI 2026 Causal, Strategic, and Combined Responsibility Attribution in Situation Calculus Concurrent Game Structures AAAI 2026 Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026 CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing AAAI 2026 Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation AAAI 2026 CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention CVPR 2026 CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026 cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context UAI 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 CHAL: Causal-guided Hierarchical Anomaly-aware Learning for Moving Infrared Small Target Detection CVPR 2026 Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint) AAAI 2026 Chronocept: Instilling a Sense of Time in Machines EACL 2026 CIGMA: Causal Information-Gain Mechanistic Attribution of Attention Heads in Vision Transformers CVPR 2026 CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models EACL 2026 Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore AAAI 2026 Coarsening Bias from Variable Discretization in Causal Functionals UAI 2026 Coarsening Causal DAG Models CLeaR 2026 COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026 Complex Reasoning over Vision and Language --Leveraging Neurosymbolic AI AAAI 2026 Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments AAAI 2026 Consistent End-to-End Estimation for Counterfactual Fairness CLeaR 2026 ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution AAAI 2026 COPO: Causal-Oriented Policy Optimization for Hallucinations of MLLMs CVPR 2026