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Generation-driven Contrastive Self-training for Zero-shot Text
  Classification with Instruction-following LLM

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM

24 April 2023
Ruohong Zhang
Yau-Shian Wang
Yiming Yang
    SyDa
ArXivPDFHTML

Papers citing "Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM"

5 / 5 papers shown
Title
Zero-shot Generative Large Language Models for Systematic Review
  Screening Automation
Zero-shot Generative Large Language Models for Systematic Review Screening Automation
Shuai Wang
Harrisen Scells
Shengyao Zhuang
Martin Potthast
Bevan Koopman
Guido Zuccon
25
12
0
12 Jan 2024
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
  Learners by Clustering Representations
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei
Ping Nie
Zhao Meng
Roger Wattenhofer
Mrinmaya Sachan
VLM
35
20
0
29 Oct 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
11,881
0
04 Mar 2022
Weakly-supervised Text Classification Based on Keyword Graph
Weakly-supervised Text Classification Based on Keyword Graph
Lu Zhang
Jiandong Ding
Yi Xu
Yingyao Liu
Shuigeng Zhou
OffRL
OOD
36
56
0
06 Oct 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
257
374
0
28 Feb 2021
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