Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data.
- DOI
- 10.1200/cci-25-00011
- Published
- 2025 Sep
- Container
- JCO clinical cancer informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1200/cci-25-00011,
title = {Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data.},
author = {Lu KH and Mehdinia S and Man K and Wong CW and Mao A and Eftekhari Z},
year = {2025},
journal = {JCO clinical cancer informatics},
doi = {10.1200/cci-25-00011},
url = {https://doi.org/10.1200/cci-25-00011}
}RIS
TY - JOUR TI - Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data. AU - Lu KH AU - Mehdinia S AU - Man K AU - Wong CW AU - Mao A AU - Eftekhari Z PY - 2025 JO - JCO clinical cancer informatics DO - 10.1200/cci-25-00011 UR - https://doi.org/10.1200/cci-25-00011 ER -
APA
KH, L., S, M., K, M., CW, W., A, M., & Z, E. (2025). Enhancing Oncology-Specific Question Answering With Large Language Models Through Fine-Tuned Embeddings With Synthetic Data.. JCO clinical cancer informatics. https://doi.org/10.1200/cci-25-00011
Source records
- pubmed · retrieved 2026-09-25T12:27:58.187Z