Causal Inference

Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion IJCAI 2025 Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding CLeaR 2025 Bridging Fairness and Efficiency in Conformal Inference: A Surrogate-Assisted Group-Clustered Approach ICML 2025 Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem AISTATS 2025 Bridging the Gap between Brain and Machine in Interpreting Visual Semantics: Towards Self-adaptive Brain-to-Text Decoding ICCV 2025 CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments IJCAI 2025 CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing AAAI 2025 CAIR: Counterfactual-based Agent Influence Ranker for Agentic AI Workflows EMNLP 2025 CaLQuest.PT: Towards the Collection and Evaluation of Natural Causal Ladder Questions in Portuguese for AI Agents COLING 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CASE: Large Scale Topic Exploitation for Decision Support Systems COLING 2025 Castle: Causal Cascade Updates in Relational Databases with Large Language Models EMNLP 2025 CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models EMNLP 2025 CATE Estimation With Potential Outcome Imputation From Local Regression UAI 2025 CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention ACL 2025 Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability JMLR 2025 Causal Abstraction Inference under Lossy Representations ICML 2025 Causal Attribution Analysis for Continuous Outcomes ICML 2025 Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting IJCAI 2025 Causal Bandits without Graph Learning CLeaR 2025 Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025 Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning ICLR 2025 Causal Denoising Prototypical Network for Few-Shot Multi-label Aspect Category Detection ACL 2025 Causal Discovery by Interventions via Integer Programming AAAI 2025 Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles UAI 2025