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AceCoder: Utilizing Existing Code to Enhance Code Generation

Published in arXiv (Cornell University) • Mar 31, 2023
NobleIDNI1P27W55R95S87
Authors:
Jia Li
,
Yunfei Zhao
,
Yongmin Li

Abstract

Large Language Models (LLMs) have shown great success in code generation. LLMs take as the input a prompt and output the code. A key question is how to make prompts (i.e., Prompting Techniques). Existing prompting techniques are designed for natural language generation and have low accuracy in code ...

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