A multi-role LLM prompting framework with PPA-aware in-context learning reports 25/29 functional correctness on RTLLM and up to 88% power, 76% area, and 73% timing gains over its own baseline.
Benchmarking large language models for automated verilog rtl code generation,
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VeriOpt: PPA-Aware High-Quality Verilog Generation via Multi-Role LLMs
A multi-role LLM prompting framework with PPA-aware in-context learning reports 25/29 functional correctness on RTLLM and up to 88% power, 76% area, and 73% timing gains over its own baseline.