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Prompt Engineering for Healthcare: Methodologies and Applications

Prompt Engineering for Healthcare: Methodologies and Applications

28 April 2023
Jiaqi Wang
Enze Shi
Sigang Yu
Zihao Wu
Chong Ma
Haixing Dai
Qiushi Yang
Yanqing Kang
Jinru Wu
Huawen Hu
Chenxi Yue
Haiyang Zhang
Yi-Hsueh Liu
Yi Pan
Zhengliang Liu
Lichao Sun
Xiang Li
Bao Ge
Xi Jiang
Dajiang Zhu
Yixuan Yuan
Dinggang Shen
Tianming Liu
Shu Zhang
    LM&MA
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Papers citing "Prompt Engineering for Healthcare: Methodologies and Applications"

22 / 22 papers shown
Title
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
CLOCR-C: Context Leveraging OCR Correction with Pre-trained Language Models
Jonathan Bourne
41
4
0
30 Aug 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong
Zheng Yuan
Qinggang Zhang
Hao Chen
Junnan Dong
Feiran Huang
Xiao Huang
47
49
0
12 Jun 2024
Exploring the Potential of Large Language Models in Artistic Creation:
  Collaboration and Reflection on Creative Programming
Exploring the Potential of Large Language Models in Artistic Creation: Collaboration and Reflection on Creative Programming
Anqi Wang
Zhizhuo Yin
Yulu Hu
Yuanyuan Mao
Pan Hui
21
9
0
15 Feb 2024
Clinical Concept and Relation Extraction Using Prompt-based Machine
  Reading Comprehension
Clinical Concept and Relation Extraction Using Prompt-based Machine Reading Comprehension
C.A.I. Peng
Xi Yang
Zehao Yu
Jiang Bian
W. Hogan
Yonghui Wu
109
23
0
14 Mar 2023
Exploiting prompt learning with pre-trained language models for
  Alzheimer's Disease detection
Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
Yi Wang
Jiajun Deng
Tianzi Wang
Bo Zheng
Shoukang Hu
Xunying Liu
Helen M. Meng
29
14
0
29 Oct 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le
Fan Bai
Alan Ritter
23
12
0
07 Oct 2022
Distilling Task-specific Logical Rules from Large Pre-trained Models
Distilling Task-specific Logical Rules from Large Pre-trained Models
Tao Chen
Luxin Liu
Xu Jia
Baoliang Cui
Haihong Tang
Siliang Tang
23
1
0
06 Oct 2022
Medical Image Understanding with Pretrained Vision Language Models: A
  Comprehensive Study
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study
Ziyuan Qin
Huahui Yi
Qicheng Lao
Kang Li
VLM
24
62
0
30 Sep 2022
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand
  Rare Biomedical Words
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
Hao Wang
Chi-Liang Liu
Nuwa Xi
Sendong Zhao
Meizhi Ju
Shiwei Zhang
Ziheng Zhang
Yefeng Zheng
Bing Qin
Ting Liu
VLM
AAML
LM&MA
31
6
0
14 Sep 2022
Metaverse for Healthcare: A Survey on Potential Applications, Challenges
  and Future Directions
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
Rajeswari Chengoden
Nancy Victor
Thien Huynh-The
Gokul Yenduri
Rutvij H. Jhaveri
M. Alazab
S. Bhattacharya
Pawan Hegde
Praveen Kumar Reddy Maddikunta
Thippa Reddy Gadekallu
37
212
0
09 Sep 2022
Extracting Biomedical Factual Knowledge Using Pretrained Language Model
  and Electronic Health Record Context
Extracting Biomedical Factual Knowledge Using Pretrained Language Model and Electronic Health Record Context
Zonghai Yao
Yi Cao
Zhichao Yang
Vijeta Deshpande
Hong-ye Yu
100
20
0
26 Aug 2022
Leveraging Pre-Trained Language Models to Streamline Natural Language
  Interaction for Self-Tracking
Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Young-Ho Kim
Sungdong Kim
Minsuk Chang
Sang-Woo Lee
36
3
0
31 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
297
3,163
0
21 Mar 2022
A Prompting-based Approach for Adversarial Example Generation and
  Robustness Enhancement
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement
Yuting Yang
Pei Huang
Juan Cao
Jintao Li
Yun Lin
J. Dong
Feifei Ma
Jian Zhang
AAML
SILM
30
13
0
21 Mar 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
255
7,337
0
11 Nov 2021
Can Language Models be Biomedical Knowledge Bases?
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung
Jinhyuk Lee
Sean S. Yi
Minji Jeon
Sungdong Kim
Jaewoo Kang
AI4MH
108
105
0
15 Sep 2021
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
319
2,108
0
02 Sep 2021
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
275
3,784
0
18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
224
1,281
0
18 Mar 2020
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
391
2,216
0
03 Sep 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
75
1,086
0
30 Nov 2018
1