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Using Large Language Models to Enrich the Documentation of Datasets for
  Machine Learning

Using Large Language Models to Enrich the Documentation of Datasets for Machine Learning

4 April 2024
Joan Giner-Miguelez
Abel Gómez
Jordi Cabot
    LLMAG
ArXivPDFHTML

Papers citing "Using Large Language Models to Enrich the Documentation of Datasets for Machine Learning"

4 / 4 papers shown
Title
Rethinking industrial artificial intelligence: a unified foundation framework
Rethinking industrial artificial intelligence: a unified foundation framework
Jay Lee
Hanqi Su
AI4CE
39
1
0
02 Apr 2025
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
221
318
0
21 Sep 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
303
11,730
0
04 Mar 2022
A Framework for Deprecating Datasets: Standardizing Documentation,
  Identification, and Communication
A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
A. Luccioni
Frances Corry
H. Sridharan
Mike Ananny
J. Schultz
Kate Crawford
38
28
0
18 Oct 2021
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