2021-07-07 · preprint · Software Engineering Research · en
highly citedClaims drawn from cited facts, not live model generation.
This paper is a preprint in the area of software engineering research, specifically addressing the evaluation of code-trained large language models as its title indicates. Because it is a preprint, this work has not yet cleared formal peer review and should be given correspondingly less weight.
4 cited facts
This work was produced by a small team of three researchers.
1 cited fact
With 1458 citations, this work has already become an established reference point in its field. It draws on 96 references.
3 cited facts
Evaluating Large Language Models Trained on Code is a preprint, focusing on Software Engineering Research, published in 2021.
Evaluating Large Language Models Trained on Code has 1,458 citations in our record, placing it among the highly cited works we track.
Our record lists 3 authors for Evaluating Large Language Models Trained on Code and references 96 other works. Author names aren't in our data yet — the source link on the page lists the full byline.
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