Causal Inference

Beware of Hinges in Proximal Variables Regression: Adjusting for Colliding-Mediators with Nuisance PV CLeaR 2026 Beyond Bounds: Quantifying the Probability of Counterfactual Fairness UAI 2026 Beyond Perceptual Shortcuts: Causal-Inspired Debiasing Optimization for Generalizable Video Reasoning in Lightweight MLLMs CVPR 2026 Beyond Single Transactions: D-EMAML---Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection AAAI 2026 Beyond World Models: Rethinking Understanding in AI Models AAAI 2026 Bidirectional Counterfactual Distillation for Review-Based Recommendation AAAI 2026 Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach CLeaR 2026 Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models JMLR 2026 Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness UAI 2026 Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery UAI 2026 Breaking Spurious Correlations: Uncertainty-Driven Causal Transformers for AU Detection CVPR 2026 Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization CVPR 2026 Bridging Internal Consistency and External Alignment: A Causal and Dynamic Interpretability Framework for LLM Generation ACL 2026 CAKE: Causal-Guided Adaptive Knowledge Editing for LLMs ACL 2026 CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge AAAI 2026 Can Large Language Models Infer Causal Relationships from Real-World Text? ACL 2026 Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs EACL 2026 CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering CVPR 2026 CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026 CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2026 CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction AAAI 2026 Causal Activation Steering via Sparse Mediation EACL 2026 Causal and Active Learning-Based Counterfactual Chest X-ray Generation for Supporting Clinical Decision-Making in Lung Disease CLeaR 2026 Causal Articulation Theory (CAT): Articulating Static and Temporal Causal Models Beyond LLM Rationalizations CLeaR 2026 CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026