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2312.06099
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Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need
11 December 2023
C.A.I. Peng
Xi Yang
Aokun Chen
Zehao Yu
Kaleb E. Smith
Anthony B Costa
Mona G. Flores
Jiang Bian
Yonghui Wu
LM&MA
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Papers citing
"Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need"
7 / 7 papers shown
Title
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Jamil Zaghir
Marco Naguib
Mina Bjelogrlic
Aurélie Névéol
Xavier Tannier
Christian Lovis
AI4CE
LM&MA
40
6
0
02 May 2024
Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
C.A.I. Peng
Xi Yang
Kaleb E. Smith
Zehao Yu
Aokun Chen
Jiang Bian
Yonghui Wu
VLM
LRM
38
28
0
10 Oct 2023
A Study of Generative Large Language Model for Medical Research and Healthcare
C.A.I. Peng
Xi Yang
Aokun Chen
Kaleb E. Smith
Nima M. Pournejatian
...
W. Hogan
E. Shenkman
Yi Guo
Jiang Bian
Yonghui Wu
LM&MA
ELM
AI4MH
155
246
0
22 May 2023
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
124
23
0
14 Mar 2023
Progress Note Understanding -- Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task
Yanjun Gao
Dmitriy Dligach
Timothy A. Miller
M. Churpek
Özlem Uzuner
Majid Afshar
27
4
0
14 Mar 2023
Large Language Models are Few-Shot Clinical Information Extractors
Monica Agrawal
S. Hegselmann
Hunter Lang
Yoon Kim
David Sontag
BDL
LM&MA
170
335
0
25 May 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
282
2,007
0
31 Dec 2020
1