Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory.

De Santis E, Martino A, Rizzi A

DOI: 10.1109/tpami.2024.3358168
Published: 2024 Jul
Container: IEEE transactions on pattern analysis and machine intelligence
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1109/tpami.2024.3358168,
  title = {Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory.},
  author = {De Santis E and Martino A and Rizzi A},
  year = {2024},
  journal = {IEEE transactions on pattern analysis and machine intelligence},
  doi = {10.1109/tpami.2024.3358168},
  url = {https://doi.org/10.1109/tpami.2024.3358168}
}

RIS

TY  - JOUR
TI  - Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory.
AU  - De Santis E
AU  - Martino A
AU  - Rizzi A
PY  - 2024
JO  - IEEE transactions on pattern analysis and machine intelligence
DO  - 10.1109/tpami.2024.3358168
UR  - https://doi.org/10.1109/tpami.2024.3358168
ER  -

APA

E, D. S., A, M., & A, R. (2024). Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory.. IEEE transactions on pattern analysis and machine intelligence. https://doi.org/10.1109/tpami.2024.3358168

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pubmed · retrieved 2026-09-25T10:37:59.603Z