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Taiyi: a bilingual fine-tuned large language model for diverse biomedical tasks.

Ling LuoJinzhong NingYingwen ZhaoZhijun WangZeyuan DingPeng ChenWeiru FuQinyu HanGuangtao XuYunzhi QiuDinghao PanJiru LiHao LiWenduo FengSenbo TuYuqi LiuZhihao YangJian WangYuanyuan SunHongfei Lin
Published in: Journal of the American Medical Informatics Association : JAMIA (2024)
Leveraging rich high-quality biomedical corpora and developing effective fine-tuning strategies can significantly improve the performance of LLMs within the biomedical domain. Taiyi shows the bilingual multitasking capability through supervised fine-tuning. However, those tasks such as information extraction that are not generation tasks in nature remain challenging for LLM-based generative approaches, and they still underperform the conventional discriminative approaches using smaller language models.
Keyphrases
  • air pollution
  • working memory
  • autism spectrum disorder
  • machine learning
  • healthcare