A multi-agent LLM framework with rule enforcement, compiler feedback, and retrieval achieves 92/93/81% pass@1 on three self-built EDA benchmarks, up from 67/62/43% for the best single model.
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JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation
A multi-agent LLM framework with rule enforcement, compiler feedback, and retrieval achieves 92/93/81% pass@1 on three self-built EDA benchmarks, up from 67/62/43% for the best single model.