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Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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CODEIPPROMPT:コード言語モデルの知的財産権侵害の評価

Zhiyuan Yu1, Yuhao Wu1, Ning Zhang1

  • 1Washington University in St. Louis.

Proceedings of machine learning research
|August 27, 2025
PubMed
まとめ

コード生成のための大型言語モデル (LM) は,トレーニングデータによる知的財産権 (IP) を侵害することが多い. 私たちのプラットフォーム"CODEIPPROMPT"は 人工知能によって生成されたコードで これらの知的財産権のリスクを評価し 強調しています

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