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This work was supported by the National Natural Science Foundation of China under Grant #62402412. (Corresponding author: Yangdi Lyu.)
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LLMs can now generate Verilog RTL code with over 80% functional correctness and 25% less redundant logic, thanks to a novel framework that combines semantic reasoning with state-space exploration.
