Xu, Ran, Cui, Hejie, Yu, Yue, Kan, Xuan, Shi, Wenqi, Zhuang, Yuchen, Wang, May Dongmei, Jin, Wei, Ho, Joyce, and Yang, Carl. Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. Retrieved from https://par.nsf.gov/biblio/10595552. Web. doi:10.18653/v1/2024.findings-acl.916.

Xu, Ran, Cui, Hejie, Yu, Yue, Kan, Xuan, Shi, Wenqi, Zhuang, Yuchen, Wang, May Dongmei, Jin, Wei, Ho, Joyce, & Yang, Carl. Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. Retrieved from https://par.nsf.gov/biblio/10595552. https://doi.org/10.18653/v1/2024.findings-acl.916

Xu, Ran, Cui, Hejie, Yu, Yue, Kan, Xuan, Shi, Wenqi, Zhuang, Yuchen, Wang, May Dongmei, Jin, Wei, Ho, Joyce, and Yang, Carl. "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models". Country unknown/Code not available: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.916. https://par.nsf.gov/biblio/10595552.

@article{osti_10595552,
place = {Country unknown/Code not available}, title = {Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models}, url = {https://par.nsf.gov/biblio/10595552}, DOI = {10.18653/v1/2024.findings-acl.916}, abstractNote = {}, journal = {}, publisher = {Association for Computational Linguistics}, author = {Xu, Ran and Cui, Hejie and Yu, Yue and Kan, Xuan and Shi, Wenqi and Zhuang, Yuchen and Wang, May Dongmei and Jin, Wei and Ho, Joyce and Yang, Carl}, }