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Planning-Driven Programming: A Large Language Model Programming Workflow

Published in Underline Science Inc. • Jul 16, 2025
NobleIDNI4P50W91R72S74
Authors:
Association for Computational Linguistics 2025
,
Krista A. Ehinger
,
Yanchuan Chang

Abstract

The strong performance of large language models (LLMs) raises extensive discussion on their application to code generation. Recent research suggests continuous program refinements through visible tests to improve code generation accuracy in LLMs. However, these methods suffer from LLMs' inefficiency...

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