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Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words
14 September 2022
Hao Wang
Chi-Liang Liu
Nuwa Xi
Sendong Zhao
Meizhi Ju
Shiwei Zhang
Ziheng Zhang
Yefeng Zheng
Bing Qin
Ting Liu
VLM
AAML
LM&MA
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Papers citing
"Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words"
7 / 7 papers shown
Title
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese
Hao Wang
Sendong Zhao
Zewen Qiang
Zijian Li
Nuwa Xi
...
Haoqiang Guo
Yuhan Chen
Haoming Xu
Bing Qin
Ting Liu
LM&MA
AI4MH
6
16
0
08 Sep 2023
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification
Hao Wang
Sendong Zhao
Chi-Liang Liu
Nuwa Xi
Muzhen Cai
Bing Qin
Ting Liu
16
1
0
08 Sep 2023
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
Dict-BERT: Enhancing Language Model Pre-training with Dictionary
W. Yu
Chenguang Zhu
Yuwei Fang
Donghan Yu
Shuohang Wang
Yichong Xu
Michael Zeng
Meng-Long Jiang
45
64
0
13 Oct 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
Pre-trained Models for Natural Language Processing: A Survey
Xipeng Qiu
Tianxiang Sun
Yige Xu
Yunfan Shao
Ning Dai
Xuanjing Huang
LM&MA
VLM
224
1,281
0
18 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
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