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Federated Experiments:Generative Causal Inference Powered by LLM-based Agents Simulation and RAG-based Domain Docking

De-Yu Zhou Xiao Xue Qun Ma Chao Guo Li-Zhen Cui Yong-Lin Tian Jing Yang Fei-Yue Wang

自动化学报(英文版)2025,Vol.12Issue(7):1301-1304,4.
自动化学报(英文版)2025,Vol.12Issue(7):1301-1304,4.DOI:10.1109/JAS.2024.124671

Federated Experiments:Generative Causal Inference Powered by LLM-based Agents Simulation and RAG-based Domain Docking

Federated Experiments:Generative Causal Inference Powered by LLM-based Agents Simulation and RAG-based Domain Docking

De-Yu Zhou 1Xiao Xue 2Qun Ma 2Chao Guo 3Li-Zhen Cui 1Yong-Lin Tian 3Jing Yang 3Fei-Yue Wang3

作者信息

  • 1. School of Software and the Joint SDU-NTU Centre for Artificial Intelligence Research(C-FAIR),Shandong University,Jinan 250101,China
  • 2. College of Intelligence and Computing,and Laboratory of Computation and Analytics of Complex Management Systems,Tianjin University,Tianjin 300350,China
  • 3. State Key Laboratory for Management and Control of Complex Systems,the Institute of Automation of Chinese Academy of Sciences,Beijing 100190,China
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摘要

引用本文复制引用

De-Yu Zhou,Xiao Xue,Qun Ma,Chao Guo,Li-Zhen Cui,Yong-Lin Tian,Jing Yang,Fei-Yue Wang..Federated Experiments:Generative Causal Inference Powered by LLM-based Agents Simulation and RAG-based Domain Docking[J].自动化学报(英文版),2025,12(7):1301-1304,4.

基金项目

This work was supported in part by National Key Research and Development Program of China(2021YFF0900800),National Natu-ral Science Foundation of China(62472306,62441221,62206116),Tianjin University's 2024 Special Project on Disciplinary Develop-ment(XKJS-2024-5-9),Tianjin University Talent Innovation Reward Program for Literature&Science Graduate Student(C1-2022-010),and Shanxi Province Social Science Foundation(2020F002). (2021YFF0900800)

自动化学报(英文版)

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