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Effects of Different Prompts on the Quality of GPT-4 Responses to
  Dementia Care Questions

Effects of Different Prompts on the Quality of GPT-4 Responses to Dementia Care Questions

5 April 2024
Zhuochun Li
Bo Xie
Robin Hilsabeck
Alyssa Aguirre
Ning Zou
Zhimeng Luo
Daqing He
ArXivPDFHTML

Papers citing "Effects of Different Prompts on the Quality of GPT-4 Responses to Dementia Care Questions"

5 / 5 papers shown
Title
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
Creating Trustworthy LLMs: Dealing with Hallucinations in Healthcare AI
Muhammad Aurangzeb Ahmad
Ilker Yaramis
Taposh Dutta Roy
LM&MA
HILM
48
36
0
26 Sep 2023
Prompt Engineering for Healthcare: Methodologies and Applications
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
83
113
0
28 Apr 2023
Capabilities of GPT-4 on Medical Challenge Problems
Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori
Nicholas King
S. McKinney
Dean Carignan
Eric Horvitz
LM&MA
ELM
AI4MH
112
796
0
20 Mar 2023
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural
  Language Processing
HealthPrompt: A Zero-shot Learning Paradigm for Clinical Natural Language Processing
Sonish Sivarajkumar
Yanshan Wang
VLM
LM&MA
87
56
0
09 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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
799
9,351
0
28 Jan 2022
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