CodeCoR improves LLM code generation by having four agents generate, test, prune, and repair candidate solutions, reporting a 77.8% average Pass@1 on four Python benchmarks.
Self-planning code generation with large language models,
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CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
CodeCoR improves LLM code generation by having four agents generate, test, prune, and repair candidate solutions, reporting a 77.8% average Pass@1 on four Python benchmarks.