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    <identifier>10.57760/sciencedb.j00133.00319</identifier>
    <datestamp>2024-08-02T13:38:58Z</datestamp>
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  <dc:date>2024-08-02</dc:date>
  <dc:title>Improvement Methods for Large Language Models in the Field of Traditional Chinese Medicine Knowledge Q&amp;amp;A</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00319</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The compressed file includes the Traditional Chinese Medicine Q&amp;amp;A dataset used in our research, the knowledge graph and knowledge base for prompt engineering experimental code, and the final experimental results.</dc:description>
  <dc:subject>Combating hallucinations; Large language models; Prompt engineering; Knowledge graphs; Traditional Chinese Medicine Q&amp;A</dc:subject>
  <dc:creator>陈静</dc:creator>
  <dc:creator>曹智勋</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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