Causal Discovery Agent Uses LLM Guidance
Researchers have developed a Causal Ensemble Agent that uses LLM-guided expert reweighting for hierarchical causal discovery. The method aims to uncover causal structures from data. This integration allows the agent to better understand complex causal relationships.
Topics
Developing
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Sources · 7 independent
Modernity/arxiv
“Causal Ensemble Agent: Hierarchical Causal Discovery with LLM-guided Expert Reweighting. Authors: Xinyu Li, Yuanyuan Wang, Haoxuan Li, Chuan Zhou, Erdun Gao, Bo Han, Tongliang Liu, Kun Zhang, Howard Bondell, Mingming Gong Abstract: Causal discovery aims to uncover causal structures from ...”
arXiv
“Mohamed-Meziani Abstract: We present a detailed study of the $pp\to h\toγγ$ process in the HPOprodMFV\_UFO model framework, focusing on the Higgs-gluon effective coupling modifier, $κ_g$....”
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