Causal Inference

Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities AAAI 2026 Mitigating Causal Bias in LLMs via Potential Outcomes Framework and Actual Causality Theory EACL 2026 Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing UAI 2026 Multi-component Causal Tracing in Large Language Models ACL 2026 Multi-granularity Temporal Knowledge Editing over Large Language Models AAAI 2026 NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models AAAI 2026 Neural Network Parameter-optimization of Gaussian Pre-marginalized Directed Acyclic Graphs JMLR 2026 NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework AAAI 2026 Nonparametric Greedy Equivalence Search with Prior-Fitted Networks CLeaR 2026 Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies JMLR 2026 Object-Centric World Models for Causality-Aware Reinforcement Learning AAAI 2026 On Causal Representation Learning with Internal Auxiliaries UAI 2026 OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making AAAI 2026 One Model to Rule Them All: Canonically Gluing Causal Models Along Shared Substructures UAI 2026 On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint) AAAI 2026 On the Granularity of Causal Effect Identifiability UAI 2026 On Transportability for Structural Causal Bandits UAI 2026 Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation AAAI 2026 ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation AAAI 2026 OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference AAAI 2026 OseiBrefo-Liang at SemEval-2026 Task 12: Hybrid Causal Knowledge Graphs and Neural-Symbolic Policy Optimisation for Abductive Event Reasoning SemEval 2026 Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions UAI 2026 Partially Observed Structural Causal Models UAI 2026 Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations AAAI 2026