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CovR: Coverage-Aware Hardware Verification via Reasoning-Guided Reinforcement Learning
Design verification remains one of the most resource-intensive stages of hardware development, often consuming up to 70% of the total design effort. While recent work has explored using Large Language Models (LLMs) to automate testbench generation, most existing approaches focus narrowly on function
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