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    <responseDate>2026-10-11T03:14:13Z</responseDate>
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    <identifier>10.57760/sciencedb.j00133.00733</identifier>
    <datestamp>2026-09-20T09:57:28Z</datestamp>
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  <dc:date>2026-09-20</dc:date>
  <dc:title>Research Data and Code for Knowledge Indexing and Structured Analysis Methods for Mitigating Hallucinations in Large Language Models</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00733</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset and code repository support the research paper titled &amp;quot;Knowledge Indexing and Structured Analysis Methods for Mitigating Hallucinations in Large Language Models&amp;quot;. It includes:Source Code &amp;amp; Algorithms: Implementation of the BERT-CRF domain concept indexing, head-concept-driven dynamic window relation extraction, and TextRank centrality calculation scripts.Experimental Prompts &amp;amp; Configs: Structured Prompt templates and Structured Retrieval-Augmented Generation (RAG) configuration files used in Section 4.2 for GPT-4o (temperature=0, max_tokens=512).Dataset Samples: Expert-annotated concept indexing and relation triplet samples in the diabetes domain (including schema descriptions for 1,458 training and 369 validation samples).</dc:description>
  <dc:subject>Large Language Models; Knowledge Enhancement; Knowledge Indexing; Structured Analysis; Hallucination Mitigation</dc:subject>
  <dc:creator>liu ya jun</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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