A self-trained multi-agent RL framework pairs Verilog and Python agents for oracle-free mutual verification in RTL generation and reports 75.0% / 80.1% pass@1 on VerilogEval V2 using 4B / 9B models.
Evaluating large language models trained on code, 2021
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ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
A self-trained multi-agent RL framework pairs Verilog and Python agents for oracle-free mutual verification in RTL generation and reports 75.0% / 80.1% pass@1 on VerilogEval V2 using 4B / 9B models.