tinyBenchmarks: evaluating LLMs with fewer examples

Maia_Polo, Felipe; Weber, Lucas; Choshen, Leshem; Sun, Yuekai; Xu, Gongjun; Yurochkin, Mikhail

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Citation Details

This content will become publicly available on July 21, 2025

tinyBenchmarks: evaluating LLMs with fewer examples

Award ID(s):: 2027737

PAR ID:: 10547932

Author(s) / Creator(s):: Maia_Polo, Felipe; Weber, Lucas; Choshen, Leshem; Sun, Yuekai; Xu, Gongjun; Yurochkin, Mikhail

Publisher / Repository:: Proceedings of Machine Learning Research

Date Published:: 2024-07-21

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
This content will become publicly available on July 21, 2025
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