Large Language Models for EDA: Future or Mirage? Article Swipe
Zhuolun He
,
Yuan Pu
,
Haoyuan Wu
,
Tairu Qiu
,
Bei Yu
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3736167
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3736167
In this article, we explore the burgeoning intersection of large language models (LLMs) and electronic design automation (EDA). We critically assess whether LLMs represent a transformative future for EDA or merely a fleeting mirage. By organizing existing research into four critical domains of EDA—code generation, verification and debugging, knowledge representation and retrieval, and optimization/modeling—we provide a comprehensive overview of the current state-of-the-art. The survey concludes with a 5-level roadmap to guide the progressive integration and advancement of LLMs in EDA. Ultimately, this article aims to provide a comprehensive, evidence-based perspective on the role of LLMs in shaping the future of EDA.
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- OpenAlex ID
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All OpenAlex metadata
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https://doi.org/10.1145/3736167Digital Object Identifier
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Large Language Models for EDA: Future or Mirage?Work title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-16Full publication date if available
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Zhuolun He, Yuan Pu, Haoyuan Wu, Tairu Qiu, Bei YuList of authors in order
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https://doi.org/10.1145/3736167Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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Computer science, Parallel computingTop concepts (fields/topics) attached by OpenAlex
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10Other works algorithmically related by OpenAlex
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