CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing

arXiv:2403.13583v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have revolutionized code generation ability by converting natural language descriptions into executable code. However, generating complex code within real-world scenarios remains challenging due to intricate structures, subtle bugs, understanding of advanced data types, and lack of supplementary contents. To address these challenges, we introduce the CONLINE framework, which enhances code generation by incorporating planned online searches for information retrieval and automated correctness testing for iterative refinement. CONLINE also serializes the complex …

abstract advanced arxiv bugs code code generation contents cs.cl cs.lg cs.se data however language language models large language large language models llms natural natural language searching testing type types understanding world