Causal Discovery with LLMs

LLM: Large Language Model

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19 papers1 paper in the last four weeks, down 80% on the four weeks before. 0.0% of all new papers.

  1. Benchmarking and Enhancing Agentic Causal Discovery

    Oct 16, 2026Pingchuan Ma, Rui Ding, Shuai WangCausal DiscoveryCausal Discovery with LLMs

    Zhejiang University of Technology · Microsoft · The Hong Kong University of Science and Technology

  2. Overcoming Challenges of Interpretive Structural Modeling with Large Language Models

    Sep 30, 2026Everett Rush, David J. Icove, Ari Kim +2Causal Discovery with LLMsMulti-Criteria Decision Analysis

    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN · Oak Ridge National Laboratory, Oak Ridge, TN

  3. Inferring Causal Relations between Two Sequences of Events with Language Models

    Sep 30, 2026Nishchal Prasad, Eric Gaussier, Emilie Devijver +3Time-Series Causal DiscoveryCausal Discovery

    INRIA, Univ. Grenoble Alpes, CNRS, LIG · Univ. Grenoble Alpes, CNRS, Grenoble INP, LIG · Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG +1

  4. MaSCoD: A Multi-Agent Framework for Structural-Context-Guided Candidate Causal Graph Generation

    Sep 17, 2026Yudai Nakada, Yuichiro Nishiura, Jin Michael SplichalMulti-Agent LLM SystemsCausal Discovery

    SCSK Corporation Tokyo, Japan

  5. Active Causal Discovery Benchmark: Evaluating LLM Agents Under Budgeted Interventions

    Sep 16, 2026Sagar Deb, Devam Shah, Ashwanth KrishnanCausal DiscoveryCausal Discovery with LLMs

    QpiAI

  6. Causal discovery identifies pathways linking physical activity to dementia risk in the UK BioBank

    Sep 12, 2026Wasif Khan, Panayiotis V. Benos, Joshua K. Wong +1Causal Discovery with LLMs

    J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA · Department of Epidemiology, University of Florida, Gainesville, FL, USA · Norman Fixel Institute for Neurological Diseases, University of Florida, Gainesville, FL, USA +2

  7. Causal Modeling of Adverse Pregnancy Outcomes via Adaptive LLM Proposals

    Aug 21, 2026Kavimayil P. Komarasamy, Saurabh Mathur, Ameet Soni +3Causal Discovery with LLMsCausal Discovery

    The University of Texas at Dallas · German Research Center for AI (DFKI) · Technical University of Darmstadt +3

  8. Causal Discovery in the Era of Agents

    Jun 22, 2026Yujia Zheng, Vishal Verma, Mantej Gill +3AI Agents for Scientific DiscoveryCausal Discovery

    1Carnegie Mellon University. · 2Mohamed bin Zayed University of Artificial Intelligence.

  9. Words as Difference Makers: How Large Language Models Determine Causal Structure in Text

    Jun 21, 2026Wolfgang PietschCausal Reasoning in Language ModelsLLM Interpretability

    tum

  10. Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting

    Jun 9, 2026Xinyu Li, Yuanyuan Wang, Haoxuan Li +7Causal DiscoveryCausal Structure Learning

    The University of Melbourne · MBZUAI · Peking University +4

  11. LMT: A Bayesian Framework for Causal Discovery from Textual Alarm Records in Manufacturing Systems

    Jun 3, 2026Xiaofeng Xiao, Jianhong Chen, Qiuzhuang Sun +2Bayesian NetworksCausal Discovery

    Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA · College of Integrative Studies, Singapore Management University, Singapore · Department of Industrial Engineering and Management Sciences, Department of Mechanical Engineering, Northwestern University, IL, USA

  12. CauTion: Knowing When to Trust LLMs for Ensemble Causal Discovery

    Jun 2, 2026Bo Peng, Kaiwen Wu, Sirui Chen +3Causal DiscoveryCausal Discovery with LLMs

    Shanghai AI Laboratory · Shanghai Innovation Institute · Shanghai Jiao Tong University +2

  13. Why LLMs Fail at Causal Discovery and How Interventional Agents Escape

    May 26, 2026Amartya Roy, Sonali ParbhooCausal DiscoveryCausal Reasoning in Language Models

    SIRE, IIT Delhi and Robert Bosch GmbH, India · Imperial College London

  14. CausaLab: A Scalable Environment for Interactive Causal Discovery Toward AI Scientists

    May 25, 2026Junlin Yang, Dylan Zhang, Xiangchen Song +7Structural Causal ModelsLLM Agent Evaluation

    Tsinghua University · University of Illinois Urbana-Champaign · Carnegie Mellon University +2

  15. Implicit Causal Graph Construction in Text via Chain Discovery

    Apr 20, 2026Liesbeth Allein, Marie-Francine MoensCausal DiscoveryCausal Reasoning in Language Models

    Department of Computer Science, KU Leuven, Belgium · Department of Electronics and Information Systems, Ghent University, Belgium

  16. Causality Elicitation from Large Language Models

    Mar 4, 2026Takashi Kameyama, Masahiro Kato, Yasuko Hio +2Causal Discovery with LLMsCausal Reasoning in Language Models

    Mizuho-DL Financial Technology Co., Ltd.

  17. DMCD: Semantic-Statistical Framework for Causal Discovery

    Feb 23, 2026Samarth KaPatel, Sofia Nikiforova, Giacinto Paolo Saggese +1Causal DiscoveryCausal Structure Learning

    Causify AI

  18. Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach

    Feb 18, 2026Zihao Li, Fabrizio RussoCausal Discovery with LLMsCausal Discovery

    Department of Computing, Imperial College London, UK

  19. Discovering and Reasoning of Causality in the Hidden World with Large Language Models

    Feb 6, 2024Chenxi Liu, Yongqiang Chen, Tongliang Liu +4Markov Blanket DiscoveryCausal Discovery with LLMs

    TMLR Group, Hong Kong Baptist University, Kowloon, Hong Kong SAR · Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE · Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA 15213, USA +3