Artificial Intelligence

Causal Inference with Large Language Model: A Survey NAACL 2025 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation AAAI 2025 Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions EMNLP 2025 Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning ICML 2025 Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection ICML 2025 Causality-guided Prompt Learning for Vision-language Models via Visual Granulation ICCV 2025 Causality-Inspired Disentanglement for Fair Graph Neural Networks IJCAI 2025 CausalLink: An Interactive Evaluation Framework for Causal Reasoning ACL 2025 Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery EMNLP 2025 Causal Logistic Bandits with Counterfactual Fairness Constraints ICML 2025 Causally Consistent Normalizing Flow AAAI 2025 Causally Modeling the Linguistic and Social Factors that Predict Email Response NAACL 2025 Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025 Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias NAACL 2025 CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks EMNLP 2025 Causal Models for Growing Networks UAI 2025 Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference ICLR 2025 Causal PETS: Causality-Informed PET Synthesis from Multi-modal Data MIDL 2025 Causal-PIK: Causality-based Physical Reasoning with a Physics-Informed Kernel ICML 2025 Causal Prompting: Debiasing Large Language Model Prompting Based on Front-Door Adjustment AAAI 2025 CausalRAG: Integrating Causal Graphs into Retrieval-Augmented Generation ACL 2025 Causal reasoning in difference graphs CLeaR 2025 Causal Representation Learning from General Environments under Nonparametric Mixing AISTATS 2025 Causal Representation Learning from Multimodal Biomedical Observations ICLR 2025