DuoFlow-KG: a dual-modal evidence retrieval framework for high-density LLM-augmented KGQA.

Wang L, Xie Z, Wang R, Jin M, Lu Y

DOI: 10.1038/s41598-026-59526-3
Published: 2026 Jul 6
Container: Scientific reports
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-59526-3,
  title = {DuoFlow-KG: a dual-modal evidence retrieval framework for high-density LLM-augmented KGQA.},
  author = {Wang L and Xie Z and Wang R and Jin M and Lu Y},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-59526-3},
  url = {https://doi.org/10.1038/s41598-026-59526-3}
}

RIS

TY  - JOUR
TI  - DuoFlow-KG: a dual-modal evidence retrieval framework for high-density LLM-augmented KGQA.
AU  - Wang L
AU  - Xie Z
AU  - Wang R
AU  - Jin M
AU  - Lu Y
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-59526-3
UR  - https://doi.org/10.1038/s41598-026-59526-3
ER  -

APA

L, W., Z, X., R, W., M, J., & Y, L. (2026). DuoFlow-KG: a dual-modal evidence retrieval framework for high-density LLM-augmented KGQA.. Scientific reports. https://doi.org/10.1038/s41598-026-59526-3

Source records

pubmed · retrieved 2026-09-26T02:42:39.198Z