Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature.
- DOI
- 10.1038/s41598-026-47277-0
- Published
- 2026 Apr 10
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-47277-0,
title = {Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature.},
author = {Chin KY and Fujii S and Ishida S and Terayama K},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-47277-0},
url = {https://doi.org/10.1038/s41598-026-47277-0}
}RIS
TY - JOUR TI - Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature. AU - Chin KY AU - Fujii S AU - Ishida S AU - Terayama K PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-47277-0 UR - https://doi.org/10.1038/s41598-026-47277-0 ER -
APA
KY, C., S, F., S, I., & K, T. (2026). Assessing the performance of multimodal large language models in experimental information extraction from liquid-liquid phase separation literature.. Scientific reports. https://doi.org/10.1038/s41598-026-47277-0
Source records
- pubmed · retrieved 2026-09-26T04:26:56.980Z