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Do Physicians Know How to Prompt? The Need for Automatic Prompt
  Optimization Help in Clinical Note Generation

Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation

16 November 2023
Zonghai Yao
Ahmed Jaafar
Beining Wang
Zhichao Yang
Hong-ye Yu
    LM&MA
ArXivPDFHTML

Papers citing "Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation"

6 / 6 papers shown
Title
PromptAgent: Strategic Planning with Language Models Enables
  Expert-level Prompt Optimization
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Xinyuan Wang
Chenxi Li
Zhen Wang
Fan Bai
Haotian Luo
Jiayou Zhang
Nebojsa Jojic
Eric P. Xing
Zhiting Hu
93
112
0
25 Oct 2023
Context Variance Evaluation of Pretrained Language Models for
  Prompt-based Biomedical Knowledge Probing
Context Variance Evaluation of Pretrained Language Models for Prompt-based Biomedical Knowledge Probing
Zonghai Yao
Yi Cao
Zhichao Yang
Hong-ye Yu
52
17
0
18 Nov 2022
Large Language Models Can Self-Improve
Large Language Models Can Self-Improve
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
ReLM
AI4MH
LRM
131
594
0
20 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
480
3,952
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
186
4,209
0
01 Jan 2021
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
545
2,639
0
03 Sep 2019
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