Can large language models build causal graphs?

7 March 2023

Papers citing "Can large language models build causal graphs?"

44 / 44 papers shown

Title
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation Xiaofan Zhou Liangjie Huang Pinyang Cheng Wenpen Yin Rui Zhang Wenrui Hao Lu Cheng 21 0 0 01 Apr 2025
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring Khadija Zanna Akane Sano 50 0 0 21 Mar 2025
SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal Reasoning Dimitri Ognibene Sabrina Patania Luca Annese Cansu Koyuturk Franca Garzotto Giuseppe Vizzari Azzurra Ruggeri Simone Colombani 41 0 0 13 Mar 2025
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 74 2 0 06 Mar 2025
Can Large Language Models Help Experimental Design for Causal Discovery? Junyi Li Yongqiang Chen Chenxi Liu Qianyi Cai Tongliang Liu Bo Han Kun Zhang Hui Xiong CML 65 1 0 03 Mar 2025
Auto-Bench: An Automated Benchmark for Scientific Discovery in LLMs Tingting Chen Srinivas Anumasa Beibei Lin Vedant Shah Anirudh Goyal Dianbo Liu LLMAG 61 2 0 24 Feb 2025
Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation Eleni Sgouritsa Virginia Aglietti Yee Whye Teh Arnaud Doucet Arthur Gretton Silvia Chiappa ReLM LRM 87 0 0 18 Dec 2024
Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery Xiaoxuan Li Yao Liu Ruoyu Wang Lina Yao 70 0 0 27 Nov 2024
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery Grace Sng Yanming Zhang Klaus Mueller 67 0 0 16 Nov 2024
CausalGraph2LLM: Evaluating LLMs for Causal Queries Ivaxi Sheth Bahare Fatemi Mario Fritz 34 0 0 21 Oct 2024
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models Yanming Zhang Akshith Kota Eric Papenhausen Klaus Mueller KELM 21 0 0 18 Oct 2024
Causal Inference with Large Language Model: A Survey Jing Ma CML LRM 136 8 0 15 Sep 2024
Hypothesizing Missing Causal Variables with LLMs Ivaxi Sheth Sahar Abdelnabi Mario Fritz CML LRM 46 4 0 04 Sep 2024
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? Tao Feng Lizhen Qu Niket Tandon Zhuang Li Xiaoxi Kang Gholamreza Haffari LRM 38 4 0 29 Jul 2024
Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis Nikolay Babakov Ehud Reiter Alberto Bugarin 32 1 0 12 Jul 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data Nikita Dhawan Leonardo Cotta Karen Ullrich Rahul G. Krishnan Chris J. Maddison SyDa CML 3DV 46 9 0 09 Jul 2024
Large Language Models for Constrained-Based Causal Discovery Kai-Hendrik Cohrs Gherardo Varando Emiliano Díaz Vasileios Sitokonstantinou Gustau Camps-Valls 43 9 0 11 Jun 2024
Large Language Models are Effective Priors for Causal Graph Discovery Victor-Alexandru Darvariu Stephen Hailes Mirco Musolesi 45 8 0 22 May 2024
Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation Julia Barnett Kimon Kieslich Nicholas Diakopoulos 40 3 0 15 May 2024
ALCM: Autonomous LLM-Augmented Causal Discovery Framework Elahe Khatibi Mahyar Abbasian Zhongqi Yang Iman Azimi Amir M. Rahmani 67 12 0 02 May 2024
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs Zhenlan Ji Daoyuan Wu Pingchuan Ma Zongjie Li Shuai Wang LLMAG 50 4 0 27 Apr 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model Peiwen Li Xin Wang Zeyang Zhang Yuan Meng Fang-lin Shen Yue Li Jialong Wang Yang Li Wenweu Zhu 56 3 0 23 Apr 2024
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models Yu Zhou Xingyu Wu Beichen Huang Jibin Wu Liang Feng Kay Chen Tan ELM CML 42 3 0 09 Apr 2024
Large Language Models and Causal Inference in Collaboration: A Survey Xiaoyu Liu Paiheng Xu Junda Wu Jiaxin Yuan Yifan Yang ... Haoliang Wang Tong Yu Julian McAuley Wei Ai Furong Huang ELM LRM 80 34 0 14 Mar 2024
Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models Yuzhe Zhang Yipeng Zhang Yidong Gan Lina Yao Chen Wang 39 12 0 23 Feb 2024
Discovery of the Hidden World with Large Language Models Chenxi Liu Yongqiang Chen Tongliang Liu Biwei Huang James Cheng Bo Han Kun Zhang CML 65 10 0 06 Feb 2024
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning D. Bhattacharjya Junkyu Lee Don Joven Agravante Balaji Ganesan Radu Marinescu LLMAG 38 1 0 02 Feb 2024
Efficient Causal Graph Discovery Using Large Language Models Thomas Jiralerspong Xiaoyin Chen Yash More Vedant Shah Yoshua Bengio CML 42 20 0 02 Feb 2024
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development Yanming Zhang Brette Fitzgibbon Dino Garofolo Akshith Kota Eric Papenhausen Klaus Mueller CML 35 5 0 23 Dec 2023
Causal Structure Learning Supervised by Large Language Model Taiyu Ban Lyuzhou Chen Derui Lyu Xiangyu Wang Huanhuan Chen 74 12 0 20 Nov 2023
An Interdisciplinary Outlook on Large Language Models for Scientific Research James Boyko Joseph Cohen Nathan Fox Maria Han Veiga Jennifer I-Hsiu Li ... Andreas H. Rauch Kenneth N. Reid Soumi Tribedi Anastasia Visheratina Xin Xie 40 18 0 03 Nov 2023
From Text to Structure: Using Large Language Models to Support the Development of Legal Expert Systems Samyar Janatian Hannes Westermann Jinzhe Tan Jaromír Šavelka Karim Benyekhlef ELM AILaw 41 14 0 01 Nov 2023
Large Language Models are Temporal and Causal Reasoners for Video Question Answering Dohwan Ko Ji Soo Lee Wooyoung Kang Byungseok Roh Hyunwoo J. Kim LRM 41 31 0 24 Oct 2023
Causal discovery using dynamically requested knowledge N. K. Kitson Anthony C. Constantinou CML 14 0 0 17 Oct 2023
Towards CausalGPT: A Multi-Agent Approach for Faithful Knowledge Reasoning via Promoting Causal Consistency in LLMs Ziyi Tang Ruilin Wang Weixing Chen Keze Wang Yang Liu Tianshui Chen Liang Lin Tianshui Chen Liang Lin LRM 24 0 0 23 Aug 2023
Causal Discovery with Language Models as Imperfect Experts Stephanie Long Alexandre Piché Valentina Zantedeschi Tibor Schuster Alexandre Drouin CML 16 37 0 05 Jul 2023
From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data Taiyu Ban Lyvzhou Chen Xiangyu Wang Huanhuan Chen ELM 31 58 0 29 Jun 2023
GPT-Based Models Meet Simulation: How to Efficiently Use Large-Scale Pre-Trained Language Models Across Simulation Tasks Philippe J. Giabbanelli LLMAG ALM AI4CE 34 13 0 21 Jun 2023
Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge Lyuzhou Chen Taiyu Ban Xiangyu Wang Derui Lyu Huanhuan Chen 16 19 0 12 Jun 2023
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality Emre Kıcıman Robert Osazuwa Ness Amit Sharma Chenhao Tan LRM ELM 32 261 0 28 Apr 2023
Prompt Engineering for Healthcare: Methodologies and Applications Jiaqi Wang Enze Shi Sigang Yu Zihao Wu Chong Ma ... Dajiang Zhu Yixuan Yuan Dinggang Shen Tianming Liu Shu Zhang LM&MA 46 111 0 28 Apr 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Kun Zhang AI4CE 57 11 0 29 Jan 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 38 11 0 07 Nov 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 328 4,077 0 24 May 2022