Nov. 7, 2022, 2:15 a.m. | Avia Efrat, Or Honovich, Omer Levy

cs.CL updates on arXiv.org arxiv.org

As the performance of large language models rapidly improves, benchmarks are
getting larger and more complex as well. We present LMentry, a benchmark that
avoids this "arms race" by focusing on a compact set of tasks that are trivial
to humans, e.g. writing a sentence containing a specific word, identifying
which words in a list belong to a specific category, or choosing which of two
words is longer. LMentry is specifically designed to provide quick and
interpretable insights into the …

arxiv benchmark elementary language language model

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne