AINeutralarXiv – CS AI · 7h ago6/10
🧠
How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval
A paired study comparing six multi-agent LLM architectures across 1,968 code generation tasks reveals that architectural complexity increases code structural complexity by 50-130% without improving functional accuracy. The research demonstrates that simpler orchestration pipelines match or exceed performance of elaborate multi-agent systems, challenging assumptions about architectural elaboration in AI code generation.
🧠 GPT-4