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arXiv cs.AI·

StepPRM-RTL: Stepwise Process-Reward Guided LLM Fine-Tuning for Enhanced RTL Synthesis

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In three linesStepPRM-RTL combines stepwise trajectory modeling, Process Reward Models, and retrieval-augmented fine-tuning to improve LLM-based RTL code generation. The framework uses MCTS to explore alternative reasoning paths and achieves >10% improvement in functional correctness on Verilog/VHDL benchmarks.
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Reinforcement learningCode generationReasoningFine-tuningBenchmarks

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