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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

6 May 2022
Jiadong Wang
Chengyu Wang
Minghui Qiu
Qiuhui Shi
Hongbin Wang
Jun Huang
Ming Gao
    RALM
ArXivPDFHTML

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

9 / 9 papers shown
Title
Prompting-based Synthetic Data Generation for Few-Shot Question
  Answering
Prompting-based Synthetic Data Generation for Few-Shot Question Answering
Maximilian Schmidt
A. Bartezzaghi
Ngoc Thang Vu
SyDa
52
5
0
15 May 2024
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data
  Augmentation
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation
Xiusi Chen
Yu Zhang
Jinliang Deng
Jyun-Yu Jiang
Wei Wang
24
11
0
07 Jun 2023
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
24
123
0
11 Nov 2022
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot
  Named Entity Recognition
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
Jiadong Wang
Chengcheng Han
Chengyu Wang
Chuanqi Tan
Minghui Qiu
Songfang Huang
Jun Huang
Ming Gao
30
21
0
17 Oct 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation
  and Beyond
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Yisheng Xiao
Lijun Wu
Junliang Guo
Juntao Li
Hao Fei
Tao Qin
Tie-Yan Liu
3DV
MedIm
AI4CE
32
82
0
20 Apr 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
238
808
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
243
1,924
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
258
1,589
0
21 Jan 2020
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