A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks.

Pan J, Pan X, Pan H

DOI: 10.3389/frai.2026.1818923
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.2026.1818923,
  title = {A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks.},
  author = {Pan J and Pan X and Pan H},
  year = {2026},
  journal = {Frontiers in artificial intelligence},
  doi = {10.3389/frai.2026.1818923},
  url = {https://doi.org/10.3389/frai.2026.1818923}
}

RIS

TY  - JOUR
TI  - A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks.
AU  - Pan J
AU  - Pan X
AU  - Pan H
PY  - 2026
JO  - Frontiers in artificial intelligence
DO  - 10.3389/frai.2026.1818923
UR  - https://doi.org/10.3389/frai.2026.1818923
ER  -

APA

J, P., X, P., & H, P. (2026). A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks.. Frontiers in artificial intelligence. https://doi.org/10.3389/frai.2026.1818923

Source records

pubmed · retrieved 2026-09-25T20:06:07.724Z