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ReGen: Zero-Shot Text Classification via Training Data Generation with
  Progressive Dense Retrieval

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval

18 May 2023
Yue Yu
Yuchen Zhuang
Rongzhi Zhang
Yu Meng
Jiaming Shen
Chao Zhang
    VLM
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Papers citing "ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval"

14 / 14 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
71
0
0
09 Feb 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
35
0
0
13 Nov 2024
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation
Jiaming Shen
Ran Xu
Yennie Jun
Zhen Qin
Tianqi Liu
Carl Yang
Yi Liang
Simon Baumgartner
Michael Bendersky
SyDa
53
4
0
22 Jul 2024
Zero-Shot Listwise Document Reranking with a Large Language Model
Zero-Shot Listwise Document Reranking with a Large Language Model
Xueguang Ma
Xinyu Crystina Zhang
Ronak Pradeep
Jimmy J. Lin
65
48
0
03 May 2023
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in
  Classification Tasks
The Parrot Dilemma: Human-Labeled vs. LLM-augmented Data in Classification Tasks
Anders Giovanni Møller
Jacob Aarup Dalsgaard
Arianna Pera
L. Aiello
61
33
0
26 Apr 2023
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye
Jiahui Gao
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
VLM
71
69
0
22 Oct 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A
  Prompt-Based Uncertainty Propagation Approach
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach
Yue Yu
Rongzhi Zhang
Ran Xu
Jieyu Zhang
Jiaming Shen
Chao Zhang
31
21
0
15 Sep 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
203
1,651
0
15 Oct 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage
  Retrieval
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Luyu Gao
Jamie Callan
RALM
152
326
0
12 Aug 2021
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge
  Integration
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration
Xuan Kan
Hejie Cui
Carl Yang
55
39
0
11 Jul 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
254
374
0
28 Feb 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Cold-start Active Learning through Self-supervised Language Modeling
Cold-start Active Learning through Self-supervised Language Modeling
Michelle Yuan
Hsuan-Tien Lin
Jordan L. Boyd-Graber
104
180
0
19 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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