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Performance-Efficiency Trade-Offs in Adapting Language Models to Text
  Classification Tasks

Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks

21 October 2022
Laura Aina
Nikos Voskarides
Roi Blanco
ArXivPDFHTML

Papers citing "Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks"

4 / 4 papers shown
Title
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient
  Framework
NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework
Xingcheng Yao
Yanan Zheng
Xiaocong Yang
Zhilin Yang
30
44
0
07 Nov 2021
RAFT: A Real-World Few-Shot Text Classification Benchmark
RAFT: A Real-World Few-Shot Text Classification Benchmark
Neel Alex
Eli Lifland
Lewis Tunstall
A. Thakur
Pegah Maham
...
Carolyn Ashurst
Paul Sedille
A. Carlier
M. Noetel
Andreas Stuhlmuller
RALM
184
56
0
28 Sep 2021
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
264
4,489
0
23 Jan 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
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