EstRTL improves correctness of generic-LLM RTL code generation by 3.2-9% via a Generation-Estimation-Correction loop that uses static functional scoring to decide acceptance, retry, or repair.
Understanding and mitigating errors of llm-generated rtl code
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2representative citing papers
LEGO extracts 42 standardized circuit skills from 11 open-source projects into a plug-and-play platform that raises Pass@1 from 0 to 0.805 on 41 hard VerilogEval v2 problems.
citing papers explorer
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LEGO: An LLM Skill-Based Front-End Design Generation Platform
LEGO extracts 42 standardized circuit skills from 11 open-source projects into a plug-and-play platform that raises Pass@1 from 0 to 0.805 on 41 hard VerilogEval v2 problems.