‪Hanying Wei‬ - ‪Google Scholar‬

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Co-authors

Brandon M. StewartPrinceton UniversityVerified email at princeton.edu
Naoki EgamiMassachusetts Institute of TechnologyVerified email at mit.edu
Musashi HinckPoint72Verified email at princeton.edu

Hanying Wei

Hanying Wei

Columbia University

Verified email at columbia.edu - Homepage

Computational Social Science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Using imperfect surrogates for downstream inference: Design-based supervised learning for social science applications of large language models N Egami, M Hinck, B Stewart, H Wei Advances in Neural Information Processing Systems 36, 2024	87	2024
Using Large Language Model Annotations for the Social Sciences: A General Framework of Using Predicted Variables in Downstream Analyses.” N Egami, M Hinck, BM Stewart, H Wei	24	2024
Using large language model annotations for valid downstream statistical inference in social science: Design-based semi-supervised learning N Egami, M Jacobs-Harukawa, BM Stewart, H Wei ArXiv preprint, abs/2306.04746, 2023	16	2023

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