DecoRTL combines token-class-aware temperature adjustment with contrastive top-K reranking to improve synthesizability and functional correctness of LLM-generated Verilog.
Machine learning for electronic design automation: A survey,
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DecoRTL: A Run-time Decoding Framework for RTL Code Generation with LLMs
DecoRTL combines token-class-aware temperature adjustment with contrastive top-K reranking to improve synthesizability and functional correctness of LLM-generated Verilog.