most citedEvaluating Large Language Models Trained on Code

1.5k citations · 2.1k across the 2 of their papers we have counts for

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2 papers

cs.LG2021★ 1.5k cited

Evaluating Large Language Models Trained on Code

Mark Chen, Jerry Tworek, Heewoo Jun +55

We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex p…

cs.LG2019★ 635 cited

Solving Rubik's Cube with a Robot Hand

OpenAI, Ilge Akkaya, Marcin Andrychowicz +16

We demonstrate that models trained only in simulation can be used to solve a manipulation problem of unprecedented complexity on a real robot. This is made possible by two key comp…