Causal Inference

Do Large Language Models (LLMs) Understand Chronology? (Student Abstract) AAAI 2026 Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy AAAI 2026 Don’t Test What You Can Deduce: Causal Discovery with Logical Inference UAI 2026 Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract) AAAI 2026 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions AAAI 2026 DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT AAAI 2026 Eliciting Causal Knowledge from Agents AAAI 2026 Embedding Network Autoregression for Time Series Analysis and Causal Peer Effect Inference JMLR 2026 Empowering LLMs with Symbolic Representation and Reasoning AAAI 2026 Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation AAAI 2026 Estimating Interventional Outcomes over Time with Causal Normalizing Flow UAI 2026 Estimating Joint Interventional Distributions from Marginal Interventional Data CLeaR 2026 Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media AAAI 2026 Estimating PATE under positivity violations: SBART+SPL for high-dimensional covariates CLeaR 2026 Estimation and Inference for Causal Explainability CLeaR 2026 Evaluating and Learning Robust Bandit Policies Under Uncertain Causal Mechanisms CLeaR 2026 Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task EACL 2026 Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation UAI 2026 Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact Verification EACL 2026 Experimentation on Endogenous Graphs AAAI 2026 Explicit Modeling of Causal Factors and Confounders for Image Classification AAAI 2026 Expressive Recursive Answers for Ontological Knowledge Bases AAAI 2026 Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups AAAI 2026 Falsifying Causal Graphs With Outlier Events UAI 2026