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Generative Large Language Models Are All-purpose Text Analytics Engines:
  Text-to-text Learning Is All Your Need

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
ArXiv (abs)PDFHTML

Papers citing "Generative Large Language Models Are All-purpose Text Analytics Engines: Text-to-text Learning Is All Your Need"

3 / 3 papers shown
Title
Prompt engineering paradigms for medical applications: scoping review
  and recommendations for better practices
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practicesJournal of Medical Internet Research (JMIR), 2024
Jamil Zaghir
Marco Naguib
Mina Bjelogrlic
Aurélie Névéol
Xavier Tannier
Christian Lovis
AI4CELM&MA
209
7
0
02 May 2024
Automatic Summarization of Doctor-Patient Encounter Dialogues Using
  Large Language Model through Prompt Tuning
Automatic Summarization of Doctor-Patient Encounter Dialogues Using Large Language Model through Prompt Tuning
Mengxian Lyu
C.A.I. Peng
Xiaohan Li
Patrick Balian
Jiang Bian
Yonghui Wu
LM&MAAI4MH
110
4
0
19 Mar 2024
Leveraging Large Language Models to Extract Information on Substance Use
  Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
Maria Mahbub
Gregory M Dams
Sudarshan Srinivasan
Caitlin Rizy
Ioana Danciu
Jodie Trafton
Kathryn Knight
130
6
0
18 Mar 2024
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