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Causal Inference

934 directly classified papers

Papers per year

Papers

A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis AAAI 2026
Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026
Causal Discovery from Interval-Based Event Sequences AAAI 2026
Spatio-Temporal Hierarchical Causal Models AAAI 2026
Experimentation on Endogenous Graphs AAAI 2026
Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract) AAAI 2026
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey NAACL 2025
Neuro-Conceptual Artificial Intelligence: Integrating OPM with Deep Learning to Enhance Question Answering Quality COLING 2025
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning COLING 2025
LLMScan: Causal Scan for LLM Misbehavior Detection ICML 2025
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs NAACL 2025
Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge NAACL 2025
Unzipping the Causality of Zipf’s Law and Other Lexical Trade-offs NAACL 2025
PresiUniv at FinCausal 2025 Shared Task: Applying Fine-tuned Language Models to Explain Financial Cause and Effect with Zero-shot Learning COLING 2025
VCD: A Dataset for Visual Commonsense Discovery in Images ACL 2025
Probably approximately correct high-dimensional causal effect estimation given a valid adjustment set CLEAR 2025
BioHopR: A Benchmark for Multi-Hop, Multi-Answer Reasoning in Biomedical Domain ACL 2025
Multimodal Causal Reasoning Benchmark: Challenging Multimodal Large Language Models to Discern Causal Links Across Modalities ACL 2025
InductionBench: LLMs Fail in the Simplest Complexity Class ACL 2025
DyCAST: Learning Dynamic Causal Structure from Time Series ICLR 2025
Generating Synthetic Relational Tabular Data via Structural Causal Models ACL 2025
Extracting Financial Causality through QA: Insights from FinCausal 2025 Spanish Subtask COLING 2025