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KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering

KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering

J. Wang
Chengyu Wang
Minghui Qiu
Qiuhui Shi
Hongbin Wang
Jun Huang
Ming Gao
    RALM
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Papers citing "KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering"

4 / 4 papers shown
Title
A Survey of Knowledge Enhanced Pre-trained Language Models
A Survey of Knowledge Enhanced Pre-trained Language Models
Linmei Hu
Zeyi Liu
Ziwang Zhao
Lei Hou
Liqiang Nie
Juanzi Li
KELM
VLM
12
121
0
11 Nov 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
228
780
0
14 Oct 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
238
1,898
0
31 Dec 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
248
1,382
0
21 Jan 2020