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Two Directions for Clinical Data Generation with Large Language Models:
  Data-to-Label and Label-to-Data

Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data

9 December 2023
Rumeng Li
Xun Wang
Hong Yu
    LM&MA
ArXivPDFHTML

Papers citing "Two Directions for Clinical Data Generation with Large Language Models: Data-to-Label and Label-to-Data"

5 / 5 papers shown
Title
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities
A Systematic Review of NLP for Dementia -- Tasks, Datasets and Opportunities
Lotem Peled-Cohen
Roi Reichart
22
0
0
29 Sep 2024
Medically Aware GPT-3 as a Data Generator for Medical Dialogue
  Summarization
Medically Aware GPT-3 as a Data Generator for Medical Dialogue Summarization
Bharath Chintagunta
Namit Katariya
X. Amatriain
Anitha Kannan
LM&MA
MedIm
117
145
0
09 Sep 2021
Understanding the Capabilities, Limitations, and Societal Impact of
  Large Language Models
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Alex Tamkin
Miles Brundage
Jack Clark
Deep Ganguli
AILaw
ELM
192
248
0
04 Feb 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,003
0
20 Apr 2018
Generating Multi-label Discrete Patient Records using Generative
  Adversarial Networks
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
E. Choi
Siddharth Biswal
B. Malin
J. Duke
Walter F. Stewart
Jimeng Sun
SyDa
GAN
145
471
0
19 Mar 2017
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