LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.

Cheng H, Wu Y, Khatwani S, Kruse M, Dligach D, Miller TA, Afshar M, Gao Y

DOI: 10.18653/v1/2026.acl-long.1966
Published: 2026 Jul
Container: Proceedings of the conference. Association for Computational Linguistics. Meeting
Publisher: Not recorded
Open access: yes

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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

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Cite this work

BibTeX

@article{allodium:10.18653/v1/2026.acl-long.1966,
  title = {LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.},
  author = {Cheng H and Wu Y and Khatwani S and Kruse M and Dligach D and Miller TA and Afshar M and Gao Y},
  year = {2026},
  journal = {Proceedings of the conference. Association for Computational Linguistics. Meeting},
  doi = {10.18653/v1/2026.acl-long.1966},
  url = {https://doi.org/10.18653/v1/2026.acl-long.1966}
}

RIS

TY  - JOUR
TI  - LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.
AU  - Cheng H
AU  - Wu Y
AU  - Khatwani S
AU  - Kruse M
AU  - Dligach D
AU  - Miller TA
AU  - Afshar M
AU  - Gao Y
PY  - 2026
JO  - Proceedings of the conference. Association for Computational Linguistics. Meeting
DO  - 10.18653/v1/2026.acl-long.1966
UR  - https://doi.org/10.18653/v1/2026.acl-long.1966
ER  -

APA

H, C., Y, W., S, K., M, K., D, D., TA, M., M, A., & Y, G. (2026). LogosKG: Hardware-Optimized Scalable and Interpretable Knowledge Graph Retrieval.. Proceedings of the conference. Association for Computational Linguistics. Meeting. https://doi.org/10.18653/v1/2026.acl-long.1966

Source records

pubmed · retrieved 2026-09-25T12:32:51.271Z
europe-pmc · retrieved 2026-09-25T12:32:51.282Z