Multi-Layer Semantic Alignment for LLM Text Summarization Faithfulness Detection: A Safety Verification Framework for Chinese Historical and Cultural Domain

Wenhui LIU, Yanjun ZHANG

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DOI: 10.21203/rs.3.rs-9131850/v1
Published: 2026-04-22
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-9131850/v1,
  title = {Multi-Layer Semantic Alignment for LLM Text Summarization Faithfulness Detection: A Safety Verification Framework for Chinese Historical and Cultural Domain},
  author = {Wenhui LIU and Yanjun ZHANG},
  year = {2026},
  doi = {10.21203/rs.3.rs-9131850/v1},
  url = {https://doi.org/10.21203/rs.3.rs-9131850/v1}
}

RIS

TY  - JOUR
TI  - Multi-Layer Semantic Alignment for LLM Text Summarization Faithfulness Detection: A Safety Verification Framework for Chinese Historical and Cultural Domain
AU  - Wenhui LIU
AU  - Yanjun ZHANG
PY  - 2026
DO  - 10.21203/rs.3.rs-9131850/v1
UR  - https://doi.org/10.21203/rs.3.rs-9131850/v1
ER  -

APA

LIU, W., & ZHANG, Y. (2026). Multi-Layer Semantic Alignment for LLM Text Summarization Faithfulness Detection: A Safety Verification Framework for Chinese Historical and Cultural Domain. https://doi.org/10.21203/rs.3.rs-9131850/v1

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crossref · retrieved 2026-11-10T13:00:33.968Z