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UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

15 March 2023
Daixuan Cheng
Shaohan Huang
Junyu Bi
Yu-Wei Zhan
Jianfeng Liu
Yujing Wang
Hao Sun
Furu Wei
Denvy Deng
Qi Zhang
    RALM
    LRM
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Papers citing "UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation"

5 / 55 papers shown
Title
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
218
1,663
0
15 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
3,872
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,313
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,927
0
31 Dec 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
304
6,996
0
20 Apr 2018
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