EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records Wenqi Shi author Ran Xu author Yuchen Zhuang author Yue Yu author Jieyu Zhang author Hang Wu author Yuanda Zhu author Joyce C Ho author Carl Yang author May Dongmei Wang author 2024-11 text Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing Yaser Al-Onaizan editor Mohit Bansal editor Yun-Nung Chen editor Association for Computational Linguistics Miami, Florida, USA conference publication shi-etal-2024-ehragent 10.18653/v1/2024.emnlp-main.1245 https://aclanthology.org/2024.emnlp-main.1245/ 2024-11 22315 22339