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Want To Reduce Labeling Cost? GPT-3 Can Help

Want To Reduce Labeling Cost? GPT-3 Can Help

30 August 2021
Shuohang Wang
Yang Liu
Yichong Xu
Chenguang Zhu
Michael Zeng
ArXivPDFHTML

Papers citing "Want To Reduce Labeling Cost? GPT-3 Can Help"

25 / 25 papers shown
Title
A Comprehensive Survey of Synthetic Tabular Data Generation
A Comprehensive Survey of Synthetic Tabular Data Generation
Ruxue Shi
Yili Wang
Mengnan Du
Xu Shen
Xin Wang
104
2
0
23 Apr 2025
Unlock the Power of Unlabeled Data in Language Driving Model
Unlock the Power of Unlabeled Data in Language Driving Model
Chaoqun Wang
Jie Yang
Xiaobin Hong
Ruimao Zhang
93
0
0
13 Mar 2025
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
ScriptoriumWS: A Code Generation Assistant for Weak Supervision
Tzu-Heng Huang
Catherine Cao
Spencer Schoenberg
Harit Vishwakarma
Nicholas Roberts
Frederic Sala
NoLa
167
5
0
17 Feb 2025
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
134
26
0
10 Sep 2024
Real-time Speech Summarization for Medical Conversations
Real-time Speech Summarization for Medical Conversations
Khai-Nguyen Nguyen
Khai Le-Duc
Long Vo-Dang
Truong-Son Hy
MedIm
124
2
0
22 Jun 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
69
93
0
26 Mar 2024
Quilt-1M: One Million Image-Text Pairs for Histopathology
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom O. Ikezogwo
M. S. Seyfioglu
Fatemeh Ghezloo
Dylan Stefan Chan Geva
Fatwir Sheikh Mohammed
Pavan Kumar Anand
Ranjay Krishna
Linda G. Shapiro
CLIP
VLM
210
119
0
20 Jun 2023
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
GPT3Mix: Leveraging Large-scale Language Models for Text Augmentation
Kang Min Yoo
Dongju Park
Jaewook Kang
Sang-Woo Lee
Woomyeong Park
63
236
0
18 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
315
1,152
0
18 Apr 2021
Dual Supervision Framework for Relation Extraction with Distant
  Supervision and Human Annotation
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
Woohwan Jung
Kyuseok Shim
30
14
0
24 Nov 2020
Adaptive Self-training for Few-shot Neural Sequence Labeling
Adaptive Self-training for Few-shot Neural Sequence Labeling
Yaqing Wang
Subhabrata Mukherjee
Haoda Chu
Yuancheng Tu
Ming Wu
Jing Gao
Ahmed Hassan Awadallah
VLM
18
34
0
07 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled
  Data
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Colin Wei
Kendrick Shen
Yining Chen
Tengyu Ma
SSL
50
227
0
07 Oct 2020
Meta-learning for Few-shot Natural Language Processing: A Survey
Meta-learning for Few-shot Natural Language Processing: A Survey
Wenpeng Yin
32
78
0
19 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
445
41,106
0
28 May 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
180
2,029
0
18 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
249
19,824
0
23 Oct 2019
Revisiting Self-Training for Neural Sequence Generation
Revisiting Self-Training for Neural Sequence Generation
Junxian He
Jiatao Gu
Jiajun Shen
MarcÁurelio Ranzato
SSL
LRM
262
272
0
30 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
385
24,160
0
26 Jul 2019
Dual Supervised Learning for Natural Language Understanding and
  Generation
Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su
Chao-Wei Huang
Yun-Nung Chen
90
38
0
15 May 2019
A General Framework for Multi-fidelity Bayesian Optimization with
  Gaussian Processes
A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes
Jialin Song
Yuxin Chen
Yisong Yue
105
101
0
02 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
862
93,936
0
11 Oct 2018
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
95
1,652
0
27 Aug 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
133
8,067
0
16 Jun 2016
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
175
6,046
0
04 Sep 2015
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
95
2,695
0
02 Sep 2015
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