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Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation

Dec 03, 2025

The article discusses a method to use Large Language Models (LLMs) as lossless encoders and decoders to transform Logic Condition Tables (LCTs) into Hardware Description Language (HDL) code, addressing issues of hallucinations and omissions. This approach demonstrates significant productivity improvements in hardware logic design automation by accurately generating and reconstructing LCTs from HDL.

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