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2204.10360
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Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
21 April 2022
Hui-Syuan Yeh
Thomas Lavergne
Pierre Zweigenbaum
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Papers citing
"Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction"
8 / 8 papers shown
Title
Prompt engineering paradigms for medical applications: scoping review and recommendations for better practices
Jamil Zaghir
Marco Naguib
Mina Bjelogrlic
Aurélie Névéol
Xavier Tannier
Christian Lovis
AI4CE
LM&MA
22
6
0
02 May 2024
LangGPT: Rethinking Structured Reusable Prompt Design Framework for LLMs from the Programming Language
Ming Wang
Yuanzhong Liu
Xiaoyu Liang
Songlian Li
Yijie Huang
...
Shi Feng
Chi Zhang
Yifei Zhang
Minghui Zheng
Jigang Li
24
12
0
26 Feb 2024
Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Jiashu Xu
Mingyu Derek Ma
Muhao Chen
17
16
0
21 Dec 2022
Can Language Models be Biomedical Knowledge Bases?
Mujeen Sung
Jinhyuk Lee
Sean S. Yi
Minji Jeon
Sungdong Kim
Jaewoo Kang
AI4MH
108
105
0
15 Sep 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters
Hicham El Boukkouri
Olivier Ferret
Thomas Lavergne
Hiroshi Noji
Pierre Zweigenbaum
Junichi Tsujii
66
155
0
20 Oct 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
248
1,382
0
21 Jan 2020
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
393
2,216
0
03 Sep 2019
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