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It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

15 September 2020
Timo Schick
Hinrich Schütze
ArXivPDFHTML

Papers citing "It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners"

6 / 606 papers shown
Title
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
23
20
0
02 Oct 2020
Which *BERT? A Survey Organizing Contextualized Encoders
Which *BERT? A Survey Organizing Contextualized Encoders
Patrick Xia
Shijie Wu
Benjamin Van Durme
26
50
0
02 Oct 2020
Critical Thinking for Language Models
Critical Thinking for Language Models
Gregor Betz
Christian Voigt
Kyle Richardson
SyDa
ReLM
LRM
AI4CE
23
35
0
15 Sep 2020
Pre-trained Models for Natural Language Processing: A Survey
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
243
1,452
0
18 Mar 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
258
1,589
0
21 Jan 2020
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
419
2,588
0
03 Sep 2019
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