A reasoning LLM fine-tuned on 3.5B tokens of RTL chain-of-thought data, with iterative test-time self-correction, sets new state-of-the-art results on VerilogEval and RTLLM.
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ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation
A reasoning LLM fine-tuned on 3.5B tokens of RTL chain-of-thought data, with iterative test-time self-correction, sets new state-of-the-art results on VerilogEval and RTLLM.