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2205.11024
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Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
23 May 2022
Rishabh Bhardwaj
Amrita Saha
S. Hoi
Soujanya Poria
VLM
VPVLM
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Papers citing
"Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding"
4 / 4 papers shown
Title
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Shafiq R. Joty
CLL
178
98
0
14 Oct 2021
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders
Giangiacomo Mercatali
André Freitas
CoGe
DRL
46
23
0
15 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,848
0
18 Apr 2021
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,589
0
21 Jan 2020
1