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LLM-Generated Natural Language Meets Scaling Laws: New Explorations and
  Data Augmentation Methods

LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods

29 June 2024
Zhenhua Wang
Guang Xu
Ming Ren
ArXivPDFHTML

Papers citing "LLM-Generated Natural Language Meets Scaling Laws: New Explorations and Data Augmentation Methods"

5 / 5 papers shown
Title
Complex systems approach to natural language
Complex systems approach to natural language
Tomasz Stanisz
Stanisław Drożdż
J. Kwapień
27
22
0
05 Jan 2024
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
Jingfeng Yang
Hongye Jin
Ruixiang Tang
Xiaotian Han
Qizhang Feng
Haoming Jiang
Bing Yin
Xia Hu
LM&MA
123
593
0
26 Apr 2023
A new hazard event classification model via deep learning and
  multifractal
A new hazard event classification model via deep learning and multifractal
Zhenhua Wang
Bin Wang
Ming Ren
Dong Gao
AI4CE
20
10
0
12 Sep 2022
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in
  Entity Extraction
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction
Zhenhua Wang
Ming Ren
Dong Gao
Zhuang Li
16
9
0
25 May 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
301
11,730
0
04 Mar 2022
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