Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...

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* Without CoT (prompting the model to directly generate code rather than explicit device-level reasoning) due to token limitations or model specialization.

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