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An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing
14 September 2023
Sonish Sivarajkumar
Mark Kelley
Alyssa Samolyk-Mazzanti
Shyam Visweswaran
Yanshan Wang
LM&MA
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Papers citing
"An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing"
5 / 5 papers shown
Title
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
Yayati Jadhav
P. Pak
Amir Barati Farimani
AI4CE
81
8
0
26 Aug 2024
Prompt Engineering for Healthcare: Methodologies and Applications
Jiaqi Wang
Enze Shi
Sigang Yu
Zihao Wu
Chong Ma
...
Dajiang Zhu
Yixuan Yuan
Dinggang Shen
Tianming Liu
Shu Zhang
LM&MA
42
106
0
28 Apr 2023
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
154
327
0
25 May 2022
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
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