{"total":43,"rows":[{"id":"2402.01207","title":"Efficient Causal Graph Discovery Using Large Language Models","created":"2024-02-02","cited_by_count":53,"area":null},{"id":"2310.15117","title":"Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference","created":"2023-10-23","cited_by_count":48,"area":null},{"id":"2402.01454","title":"Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach","created":"2024-02-02","cited_by_count":32,"area":null},{"id":"2402.11068","title":"Large Language Models for Causal Discovery: Current Landscape and Future Directions","created":"2024-02-16","cited_by_count":25,"area":null},{"id":"2405.13551","title":"Large Language Models are Effective Priors for Causal Graph Discovery","created":"2024-05-22","cited_by_count":24,"area":null},{"id":"2406.07378","title":"Large Language Models for Constrained-Based Causal Discovery","created":"2024-06-11","cited_by_count":15,"area":null},{"id":"2407.08694","title":"Cloud Atlas: Efficient Fault Localization for Cloud Systems using Language Models and Causal Insight","created":"2024-07-11","cited_by_count":12,"area":null},{"id":"2503.01139","title":"Can Large Language Models Help Experimental Design for Causal Discovery?","created":"2025-03-03","cited_by_count":11,"area":null},{"id":"2506.00844","title":"LLM Cannot Discover Causality, and Should Be Restricted to Non-Decisional Support in Causal Discovery","created":"2025-06-01","cited_by_count":8,"area":null},{"id":"2410.21141","title":"LLM-initialized Differentiable Causal Discovery","created":"2024-10-28","cited_by_count":6,"area":null},{"id":"2505.13770","title":"Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference","created":"2025-05-19","cited_by_count":6,"area":null},{"id":"2312.16211","title":"An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development","created":"2023-12-23","cited_by_count":5,"area":null},{"id":"2405.09679","title":"Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation","created":"2024-05-15","cited_by_count":5,"area":null},{"id":"2511.00574","title":"Bayesian Network Structure Discovery Using Large Language Models","created":"2025-11-01","cited_by_count":5,"area":null},{"id":"2510.16530","title":"Realizing LLMs' Causal Potential Requires Science-Grounded, Novel Benchmarks","created":"2025-10-18","cited_by_count":4,"area":null},{"id":"2311.03989","title":"Learned Causal Method Prediction","created":"2023-11-07","cited_by_count":3,"area":null},{"id":"2407.09311","title":"Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis","created":"2024-07-12","cited_by_count":3,"area":null},{"id":"2410.14146","title":"CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models","created":"2024-10-18","cited_by_count":3,"area":null},{"id":"2509.17784","title":"Revealing Multimodal Causality with Large Language Models","created":"2025-09-22","cited_by_count":3,"area":null},{"id":"2601.13614","title":"CauScientist: Teaching LLMs to Respect Data for Causal Discovery","created":"2026-01-20","cited_by_count":3,"area":null},{"id":"2601.22871","title":"Eroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2603.14575","title":"CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2508.12650","title":"Score-informed Neural Operator for Enhancing Ordering-based Causal Discovery","created":"2025-08-18","cited_by_count":2,"area":null},{"id":"2411.17989","title":"Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2502.17030","title":"Your Assumed DAG is Wrong and Here's How To Deal With It","created":"2025-02-24","cited_by_count":1,"area":null},{"id":"2506.22331","title":"Less Greedy Equivalence Search","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2606.03602","title":"CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2403.05759","title":"Membership Testing in Markov Equivalence Classes via Independence Query Oracles","created":"2024-03-09","cited_by_count":0,"area":null},{"id":"2412.14019","title":"Retrieving Classes of Causal Orders with Inconsistent Knowledge Bases","created":"2024-12-18","cited_by_count":0,"area":null},{"id":"2506.16234","title":"Sequential Causal Discovery with Noisy Language Model Priors","created":"2025-06-19","cited_by_count":0,"area":null},{"id":"2510.26342","title":"Linear Causal Discovery with Interventional Constraints","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2602.02601","title":"CaST: Causal Discovery via Spatio-Temporal Graphs in Disaster Tweets","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2602.20333","title":"DMCD: Semantic-Statistical Framework for Causal Discovery","created":"2026-02-23","cited_by_count":0,"area":null},{"id":"2603.02678","title":"Causal Discovery Should Embrace the Wisdom of the Crowd","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2605.06335","title":"Eliciting associations between clinical variables from LLMs via comparison questions across populations","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.21928","title":"CausalGuard: Conformal Inference under Graph Uncertainty","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.07525","title":"Implicit Causal Graph Construction in Text via Chain Discovery","created":"2026-04-20","cited_by_count":0,"area":null},{"id":"2606.09892","title":"LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2607.10456","title":"Integrating Background Knowledge for Scalable Causal Discovery","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2608.23660","title":"From Causal Plausibility to Causal Reliability: Evaluating LLMs as Calibrated Direct Causal-Edge Classifiers","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.08288","title":"LEBGen: An LLM-Enhanced Bayesian Network Framework for Few-Shot Travel Survey Data Generation","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.36771","title":"Beyond Conditional Independence: Root Cause Analysis with Deep Causal Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.04559","title":"Coupling Noisy Pairwise Knowledge to the DAG Posterior for Causal Discovery","created":"2026-10-03","cited_by_count":0,"area":null}],"next_cursor":null}