AIBullisharXiv – CS AI · 7h ago6/10
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Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation
Researchers demonstrate that LLMs can be used as lossless encoders and decoders for invertible problems in hardware design, significantly reducing hallucinations and omissions. By generating HDL code from Logic Condition Tables and reconstructing the original tables to verify accuracy, the approach improves developer productivity and catches both AI-generated errors and design specification flaws.