Causal Inference

Emergence-Inspired Multi-Granularity Causal Learning AAAI 2025 Empowering LLMs with Logical Reasoning: A Comprehensive Survey IJCAI 2025 Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis IJCAI 2025 Enhancing Counterfactual Estimation: A Focus on Temporal Treatments IJCAI 2025 Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing COLING 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing ICML 2025 Enhancing the Logical Reasoning Abilities of Large Language Models IJCAI 2025 Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective ICML 2025 Enumerating Optimal Cost-Constrained Adjustment Sets UAI 2025 Equal Truth: Rumor Detection with Invariant Group Fairness EMNLP 2025 ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 Estimating Causal Effects of Text Interventions Leveraging LLMs IJCNLP 2025 Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement ICLR 2025 Evaluating Generalization Capability of Language Models across Abductive, Deductive and Inductive Logical Reasoning COLING 2025 Evaluating Index-based Treatment Allocation in Underresourced Communities AAAI 2025 Evaluating Instructively Generated Statement by Large Language Models for Directional Event Causality Identification ACL 2025 Evaluating Prediction-based Interventions with Human Decision Makers In Mind AISTATS 2025 Evaluating Shortcut Utilization in Deep Learning Disease Classification through Counterfactual Analysis MIDL 2025 Evaluating Theory of (an uncertain) Mind: Predicting the Uncertain Beliefs of Others from Conversational Cues ACL 2025 Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? ICLR 2025 Examining and Adapting Time for Multilingual Classification via Mixture of Temporal Experts NAACL 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 Experimentation under Treatment Dependent Network Interference UAI 2025