Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
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Author / Creator
Liu, Xiaoyu , Xu, Paiheng , Wu, Junda , Yuan, Jiaxin , Yang, Yifan , Zhou, Yuhang , Liu, Fuxiao , Guan, Tianrui , Wang, Haoliang , Yu, Tong , McAuley, Julian , Ai, Wei and Huang, Furong
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Contents
Causal inference has shown potential in enhancing the predictive accuracy, fairness, robustness, and explainability of Natural Language Processing (NLP) models by capturing causal relationships among variables. The emergence of generative Large Language Models (LLMs) has significantly impacted various NLP domains, particularly through their advance...
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Full title
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
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TN_cdi_proquest_journals_2957594442
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2957594442
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E-ISSN
2331-8422
