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Enabling Natural Zero-Shot Prompting on Encoder Models via
  Statement-Tuning

Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning

19 April 2024
Ahmed Elshabrawy
Yongix Huang
Iryna Gurevych
Alham Fikri Aji
ArXivPDFHTML

Papers citing "Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning"

13 / 13 papers shown
Title
A Universal Discriminator for Zero-Shot Generalization
A Universal Discriminator for Zero-Shot Generalization
Haike Xu
Zongyu Lin
Jing Zhou
Yanan Zheng
Zhilin Yang
AI4CE
36
15
0
15 Nov 2022
Testing the Ability of Language Models to Interpret Figurative Language
Testing the Ability of Language Models to Interpret Figurative Language
Emmy Liu
Chenxuan Cui
Kenneth Zheng
Graham Neubig
ELM
LRM
43
69
0
26 Apr 2022
Efficient Large Scale Language Modeling with Mixtures of Experts
Efficient Large Scale Language Modeling with Mixtures of Experts
Mikel Artetxe
Shruti Bhosale
Naman Goyal
Todor Mihaylov
Myle Ott
...
Jeff Wang
Luke Zettlemoyer
Mona T. Diab
Zornitsa Kozareva
Ves Stoyanov
MoE
147
194
0
20 Dec 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
312
10,099
0
17 Jun 2021
Improving and Simplifying Pattern Exploiting Training
Improving and Simplifying Pattern Exploiting Training
Derek Tam
Rakesh R Menon
Joey Tianyi Zhou
Shashank Srivastava
Colin Raffel
55
151
0
22 Mar 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
94
970
0
15 Sep 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
312
1,606
0
21 Jan 2020
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive
  Summarization
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
Bogdan Gliwa
Iwona Mochol
M. Biesek
A. Wawer
108
624
0
27 Nov 2019
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
101
991
0
31 Oct 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
471
24,160
0
26 Jul 2019
FEVER: a large-scale dataset for Fact Extraction and VERification
FEVER: a large-scale dataset for Fact Extraction and VERification
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
HILM
118
1,633
0
14 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
460
4,444
0
18 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
186
8,067
0
16 Jun 2016
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