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ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback

22 October 2022
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
    SyDa
    VLM
ArXivPDFHTML

Papers citing "ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback"

44 / 44 papers shown
Title
Few-shot LLM Synthetic Data with Distribution Matching
Few-shot LLM Synthetic Data with Distribution Matching
Jiyuan Ren
Zhaocheng Du
Zhihao Wen
Qinglin Jia
Sunhao Dai
Chuhan Wu
Zhenhua Dong
SyDa
140
0
0
09 Feb 2025
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models
Ran Xu
Hejie Cui
Yue Yu
Xuan Kan
Wenqi Shi
Yuchen Zhuang
Wei Jin
Joyce C. Ho
Carl Yang
125
16
0
28 Jan 2025
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
CorrSynth -- A Correlated Sampling Method for Diverse Dataset Generation from LLMs
Suhas S Kowshik
Abhishek Divekar
Vijit Malik
SyDa
103
0
0
13 Nov 2024
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
ToxiCraft: A Novel Framework for Synthetic Generation of Harmful Information
Zheng Hui
Zhaoxiao Guo
Hang Zhao
Juanyong Duan
Congrui Huang
82
7
0
23 Sep 2024
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
Ye Jiang
Yimin Wang
MLLM
92
1
0
16 Jul 2024
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAG
LRM
142
1,471
0
25 Feb 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye
Jiahui Gao
Qintong Li
Hang Xu
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
88
220
0
16 Feb 2022
Generating Training Data with Language Models: Towards Zero-Shot
  Language Understanding
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng
Jiaxin Huang
Yu Zhang
Jiawei Han
SyDa
52
234
0
09 Feb 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding
  with Text-to-Text Language Models
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Tianbao Xie
Chen Henry Wu
Peng Shi
Ruiqi Zhong
Torsten Scholak
...
Lingpeng Kong
Rui Zhang
Noah A. Smith
Luke Zettlemoyer
Tao Yu
LMTD
88
301
0
16 Jan 2022
WANLI: Worker and AI Collaboration for Natural Language Inference
  Dataset Creation
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
Alisa Liu
Swabha Swayamdipta
Noah A. Smith
Yejin Choi
120
219
0
16 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLM
RALM
77
701
0
16 Dec 2021
An Explanation of In-context Learning as Implicit Bayesian Inference
An Explanation of In-context Learning as Implicit Bayesian Inference
Sang Michael Xie
Aditi Raghunathan
Percy Liang
Tengyu Ma
ReLM
BDL
VPVLM
LRM
179
749
0
03 Nov 2021
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
173
48
0
16 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
288
161
0
15 Oct 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
239
104
0
19 Sep 2021
Reframing Instructional Prompts to GPTk's Language
Reframing Instructional Prompts to GPTk's Language
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Yejin Choi
Hannaneh Hajishirzi
75
217
0
16 Sep 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
70
219
0
09 Aug 2021
Reordering Examples Helps during Priming-based Few-Shot Learning
Reordering Examples Helps during Priming-based Few-Shot Learning
Sawan Kumar
Partha P. Talukdar
47
58
0
03 Jun 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and
  Anti-Experts
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu
Maarten Sap
Ximing Lu
Swabha Swayamdipta
Chandra Bhagavatula
Noah A. Smith
Yejin Choi
MU
98
371
0
07 May 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
385
1,177
0
18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
92
236
0
16 Apr 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language Models
Timo Schick
Hinrich Schütze
136
235
0
15 Apr 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural
  Language Processing
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
53
141
0
24 Feb 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using
  Divergence Frontiers
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
Krishna Pillutla
Swabha Swayamdipta
Rowan Zellers
John Thickstun
Sean Welleck
Yejin Choi
Zaïd Harchaoui
91
358
0
02 Feb 2021
Neural Data Augmentation via Example Extrapolation
Neural Data Augmentation via Example Extrapolation
Kenton Lee
Kelvin Guu
Luheng He
Timothy Dozat
Hyung Won Chung
61
72
0
02 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
364
1,370
0
17 Jan 2021
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
702
41,736
0
28 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
94
32
0
02 May 2020
Generative Data Augmentation for Commonsense Reasoning
Generative Data Augmentation for Commonsense Reasoning
Yiben Yang
Chaitanya Malaviya
Jared Fernandez
Swabha Swayamdipta
Ronan Le Bras
Ji-ping Wang
Chandra Bhagavatula
Yejin Choi
Doug Downey
LRM
65
90
0
24 Apr 2020
Training Question Answering Models From Synthetic Data
Training Question Answering Models From Synthetic Data
Raul Puri
Ryan Spring
M. Patwary
Mohammad Shoeybi
Bryan Catanzaro
ELM
72
159
0
22 Feb 2020
Plug and Play Language Models: A Simple Approach to Controlled Text
  Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Sumanth Dathathri
Andrea Madotto
Janice Lan
Jane Hung
Eric Frank
Piero Molino
J. Yosinski
Rosanne Liu
KELM
121
969
0
04 Dec 2019
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
126
1,402
0
28 Nov 2019
Not Enough Data? Deep Learning to the Rescue!
Not Enough Data? Deep Learning to the Rescue!
Ateret Anaby-Tavor
Boaz Carmeli
Esther Goldbraich
Amir Kantor
George Kour
Segev Shlomov
N. Tepper
Naama Zwerdling
72
370
0
08 Nov 2019
CTRL: A Conditional Transformer Language Model for Controllable
  Generation
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
Lav Varshney
Caiming Xiong
R. Socher
AI4CE
111
1,249
0
11 Sep 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
558
2,660
0
03 Sep 2019
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Symmetric Cross Entropy for Robust Learning with Noisy Labels
Yisen Wang
Xingjun Ma
Zaiyi Chen
Yuan Luo
Jinfeng Yi
James Bailey
NoLa
84
895
0
16 Aug 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
173
858
0
15 May 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
170
3,160
0
22 Apr 2019
Assessing BERT's Syntactic Abilities
Assessing BERT's Syntactic Abilities
Yoav Goldberg
71
495
0
16 Jan 2019
Hierarchical Neural Story Generation
Hierarchical Neural Story Generation
Angela Fan
M. Lewis
Yann N. Dauphin
DiffM
170
1,615
0
13 May 2018
Texygen: A Benchmarking Platform for Text Generation Models
Texygen: A Benchmarking Platform for Text Generation Models
Yaoming Zhu
Sidi Lu
Lei Zheng
Jiaxian Guo
Weinan Zhang
Jun Wang
Yong Yu
92
684
0
06 Feb 2018
Understanding Black-box Predictions via Influence Functions
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh
Percy Liang
TDI
169
2,878
0
14 Mar 2017
Character-level Convolutional Networks for Text Classification
Character-level Convolutional Networks for Text Classification
Xiang Zhang
Jiaqi Zhao
Yann LeCun
256
6,101
0
04 Sep 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.6K
149,842
0
22 Dec 2014
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