Large Language Models based on historical text could offer informative tools for behavioral science

成果类型:
Editorial Material
署名作者:
Varnum, Michael E. W.; Baumard, Nicolas; Atari, Mohammad; Gray, Kurt
署名单位:
Arizona State University; Arizona State University-Tempe; Universite PSL; Ecole Normale Superieure (ENS); University of Massachusetts System; University of Massachusetts Amherst; University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-13207
DOI:
10.1073/pnas.2407639121
发表日期:
2024-10-15
关键词: