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Language Chameleon: Transformation analysis between languages using
  Cross-lingual Post-training based on Pre-trained language models

Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models

14 September 2022
Suhyune Son
Chanjun Park
Jungseob Lee
Midan Shim
Chanhee Lee
Yoonna Jang
Jaehyung Seo
Heu-Jeoung Lim
ArXivPDFHTML

Papers citing "Language Chameleon: Transformation analysis between languages using Cross-lingual Post-training based on Pre-trained language models"

5 / 5 papers shown
Title
A Survey on Awesome Korean NLP Datasets
A Survey on Awesome Korean NLP Datasets
Byunghyun Ban
39
8
0
17 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,844
0
18 Apr 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
226
4,460
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
1,587
0
21 Jan 2020
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,950
0
20 Apr 2018
1