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...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!