Limitations of current copyright frameworks for large language models trained on scientific literature.

Huang Y, Liu H

DOI: 10.3389/frai.2026.1781692
Published: 2026
Container: Frontiers in artificial intelligence
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1781692,
  title = {Limitations of current copyright frameworks for large language models trained on scientific literature.},
  author = {Huang Y and Liu H},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1781692},
  url = {https://doi.org/10.3389/frai.2026.1781692}
}

RIS

TY  - JOUR
TI  - Limitations of current copyright frameworks for large language models trained on scientific literature.
AU  - Huang Y
AU  - Liu H
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1781692
UR  - https://doi.org/10.3389/frai.2026.1781692
ER  -

APA

Y, H., & H, L. (2026). Limitations of current copyright frameworks for large language models trained on scientific literature.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1781692

Source records

pubmed · retrieved 2026-09-25T19:58:22.173Z