Causal Inference

Learning with Selectively Labeled Data from Multiple Decision-makers ICML 2025 Less is More: Federated Graph Learning with Alleviating Topology Heterogeneity from A Causal Perspective ICML 2025 LLM-enhanced Score Function Evolution for Causal Structure Learning IJCAI 2025 LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition EMNLP 2025 LLMScan: Causal Scan for LLM Misbehavior Detection ICML 2025 Local Causal Discovery Without Causal Sufficiency AAAI 2025 Local Identifying Causal Relations in the Presence of Latent Variables ICML 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect AISTATS 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025 MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering ACL 2025 MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025 Measuring Variable Importance in Heterogeneous Treatment Effects with Confidence ICML 2025 Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation ACL 2025 Multi-Domain Causal Discovery in Bijective Causal Models CLeaR 2025 Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities ACL 2025 MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems CLeaR 2025 Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding CLeaR 2025 Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality COLING 2025 Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs NAACL 2025 Nondeterministic Causal Models CLeaR 2025 Nonlinear Causal Discovery for Grouped Data UAI 2025 On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization ICML 2025 On the Consistency of Commonsense in Large Language Models ACL 2025