10 citations · 23 across the 6 of their papers we have counts for
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cs.LG2024★ 2 cited
LABOR-LLM: Language-Based Occupational Representations with Large Language Models
Susan Athey, Herman Brunborg, Tianyu Du +2
This paper builds an empirical model that predicts a worker's next occupation as a function of the worker's occupational history. Because histories are sequences of occupations, th…
cs.LG2023★ 3 cited
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
Tianyu Du, Ayush Kanodia, Susan Athey
The is an open-source library for flexible, fast choice modeling with Python and PyTorch. provides a data s…
cs.LG2022★ 3 cited
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa, Emil Palikot, Tianyu Du +3
Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although machine learning methods offe…