conftrace_

causal graph

140 papers

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Also known as

CG

Co-occurring keywords

causal inference (1630) causal discovery (460) graphical model (864) large language model (13587) directed acyclic graph (245) causal effect (107) markov equivalence class (37) latent variable (541) conditional independence (113) structural learning (53)

Papers

Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026
Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency ACL 2026
NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise ACL 2026
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026
Counterfactual Fairness with Imperfect Causal Graphs AAAI 2026
Recursive Causal Discovery (Abstract Reprint) AAAI 2026
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge AAAI 2026
Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks AAAI 2026
SPACETIME: Causal Discovery from Non-Stationary Time Series AAAI 2025
CausalLink: An Interactive Evaluation Framework for Causal Reasoning ACL 2025
Causal Graph based Event Reasoning using Semantic Relation Experts ACL 2025
Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies AAAI 2025
Debiased Multimodal Understanding for Human Language Sequences AAAI 2025
IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025
Toward Falsifying Causal Graphs Using a Permutation-Based Test AAAI 2025
CausalGraph2LLM: Evaluating LLMs for Causal Queries NAACL 2025
Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models JMLR 2025
Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables EMNLP 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
MOD-KG: MultiOrgan Diagnosis Knowledge Graph IJCNLP 2025
Recursive Causal Discovery JMLR 2025
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery EMNLP 2025