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Helping Language Models Learn More: Multi-dimensional Task Prompt for
  Few-shot Tuning

Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning

13 December 2023
Jinta Weng
Jiarui Zhang
Yue Hu
Daidong Fa
Xiaofeng Xu
Heyan Huang
ArXivPDFHTML

Papers citing "Helping Language Models Learn More: Multi-dimensional Task Prompt for Few-shot Tuning"

14 / 14 papers shown
Title
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
Andrea Madotto
Zhaojiang Lin
Genta Indra Winata
Pascale Fung
73
84
0
15 Oct 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
101
368
0
02 Sep 2021
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge
  Bases
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Boxi Cao
Hongyu Lin
Xianpei Han
Le Sun
Lingyong Yan
M. Liao
Tong Xue
Jin Xu
32
134
0
17 Jun 2021
PTR: Prompt Tuning with Rules for Text Classification
PTR: Prompt Tuning with Rules for Text Classification
Xu Han
Weilin Zhao
Ning Ding
Zhiyuan Liu
Maosong Sun
VLM
94
524
0
24 May 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
514
4,021
0
18 Apr 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong
Dan Friedman
Danqi Chen
47
410
0
12 Apr 2021
GPT Understands, Too
GPT Understands, Too
Xiao Liu
Yanan Zheng
Zhengxiao Du
Ming Ding
Yujie Qian
Zhilin Yang
Jie Tang
VLM
155
1,173
0
18 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
215
4,244
0
01 Jan 2021
Automatically Identifying Words That Can Serve as Labels for Few-Shot
  Text Classification
Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification
Timo Schick
Helmut Schmid
Hinrich Schütze
VLM
75
208
0
26 Oct 2020
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
How Much Knowledge Can You Pack Into the Parameters of a Language Model?
Adam Roberts
Colin Raffel
Noam M. Shazeer
KELM
104
889
0
10 Feb 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
328
1,613
0
21 Jan 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
126
1,402
0
28 Nov 2019
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
558
2,660
0
03 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
534
24,351
0
26 Jul 2019
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