Domain-specialized LLM agents for hardware verification close 95-99% coverage using 4-13x fewer tokens and 2-4x faster convergence than general-purpose agents by reallocating tokens toward coverage-directed reasoning.
RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model,
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Understanding Inference-Time Token Allocation and Coverage Limits in Agentic Hardware Verification
Domain-specialized LLM agents for hardware verification close 95-99% coverage using 4-13x fewer tokens and 2-4x faster convergence than general-purpose agents by reallocating tokens toward coverage-directed reasoning.