RefEvo achieves 95% pass rate on 20 hardware modules for SystemC reference model generation using dynamic multi-agent planning, co-evolutionary verification, and spec anchoring, with 71% token reduction.
Guided code generation with llms: A multi-agent framework for complex code tasks,
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RefEvo: Agentic Design with Co-Evolutionary Verification for Agile Reference Model Generation
RefEvo achieves 95% pass rate on 20 hardware modules for SystemC reference model generation using dynamic multi-agent planning, co-evolutionary verification, and spec anchoring, with 71% token reduction.