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Improving and Simplifying Pattern Exploiting Training

Improving and Simplifying Pattern Exploiting Training

22 March 2021
Derek Tam
Rakesh R Menon
Joey Tianyi Zhou
Shashank Srivastava
Colin Raffel
ArXivPDFHTML

Papers citing "Improving and Simplifying Pattern Exploiting Training"

41 / 41 papers shown
Title
Graphical Reasoning: LLM-based Semi-Open Relation Extraction
Graphical Reasoning: LLM-based Semi-Open Relation Extraction
Yicheng Tao
Yiqun Wang
Longju Bai
LRM
ReLM
40
1
0
30 Apr 2024
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot
  Classification
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
Yongxin Huang
Kexin Wang
Sourav Dutta
Raj Nath Patel
Goran Glavas
Iryna Gurevych
VLM
20
4
0
01 Nov 2023
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News
  Detection
Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
Jiaying Wu
Xinyu Chen
Haobin Yang
Qi Zhao
Yuhui Shi
AAML
27
11
0
28 Sep 2023
A Simple and Effective Framework for Strict Zero-Shot Hierarchical
  Classification
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
R. Bhambhoria
L. Chen
Xiao-Dan Zhu
21
3
0
24 May 2023
Similarity-Aware Multimodal Prompt Learning for Fake News Detection
Similarity-Aware Multimodal Prompt Learning for Fake News Detection
Ye Jiang
Xiaomin Yu
Yimin Wang
Xiaoman Xu
Xingyi Song
Diana Maynard
27
20
0
09 Apr 2023
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity
  Forums
Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums
Kazuaki Kashihara
Kuntal Kumar Pal
Chitta Baral
Robert P. Trevino
21
1
0
05 Mar 2023
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain
CySecBERT: A Domain-Adapted Language Model for the Cybersecurity Domain
Markus Bayer
Philip D. . Kuehn
Ramin Shanehsaz
Christian A. Reuter
15
43
0
06 Dec 2022
TCBERT: A Technical Report for Chinese Topic Classification BERT
TCBERT: A Technical Report for Chinese Topic Classification BERT
Ting Han
Kunhao Pan
Xinyu Chen
Dingjie Song
Yuchen Fan
Xinyu Gao
Ruyi Gan
Jiaxing Zhang
VLM
19
1
0
21 Nov 2022
MEAL: Stable and Active Learning for Few-Shot Prompting
MEAL: Stable and Active Learning for Few-Shot Prompting
Abdullatif Köksal
Timo Schick
Hinrich Schütze
24
25
0
15 Nov 2022
Tuning Language Models as Training Data Generators for
  Augmentation-Enhanced Few-Shot Learning
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Yu Meng
Martin Michalski
Jiaxin Huang
Yu Zhang
Tarek F. Abdelzaher
Jiawei Han
VLM
56
46
0
06 Nov 2022
Enhancing Tabular Reasoning with Pattern Exploiting Training
Enhancing Tabular Reasoning with Pattern Exploiting Training
Abhilash Shankarampeta
Vivek Gupta
Shuo Zhang
LMTD
RALM
ReLM
65
6
0
21 Oct 2022
Guess the Instruction! Flipped Learning Makes Language Models Stronger
  Zero-Shot Learners
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye
Doyoung Kim
Joel Jang
Joongbo Shin
Minjoon Seo
FedML
VLM
UQCV
LRM
19
25
0
06 Oct 2022
Efficient Few-Shot Learning Without Prompts
Efficient Few-Shot Learning Without Prompts
Lewis Tunstall
Nils Reimers
Unso Eun Seo Jo
Luke Bates
Daniel Korat
Moshe Wasserblat
Oren Pereg
VLM
34
182
0
22 Sep 2022
A Few-shot Approach to Resume Information Extraction via Prompts
A Few-shot Approach to Resume Information Extraction via Prompts
Chengguang Gan
Tatsunori Mori
25
9
0
20 Sep 2022
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim
  Verification with Pattern Exploiting Training
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training
Xia Zeng
A. Zubiaga
27
8
0
18 Aug 2022
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for
  Specialized Cyber Threat Intelligence
Multi-Level Fine-Tuning, Data Augmentation, and Few-Shot Learning for Specialized Cyber Threat Intelligence
Markus Bayer
Tobias Frey
Christian A. Reuter
AAML
24
15
0
22 Jul 2022
Zero-Shot Video Question Answering via Frozen Bidirectional Language
  Models
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Antoine Yang
Antoine Miech
Josef Sivic
Ivan Laptev
Cordelia Schmid
36
228
0
16 Jun 2022
Leveraging QA Datasets to Improve Generative Data Augmentation
Leveraging QA Datasets to Improve Generative Data Augmentation
Dheeraj Mekala
Tu Vu
Timo Schick
Jingbo Shang
21
18
0
25 May 2022
Few-shot Mining of Naturally Occurring Inputs and Outputs
Few-shot Mining of Naturally Occurring Inputs and Outputs
Mandar Joshi
Terra Blevins
M. Lewis
Daniel S. Weld
Luke Zettlemoyer
33
1
0
09 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
38
64
0
03 May 2022
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Contrastive Learning for Prompt-Based Few-Shot Language Learners
Yiren Jian
Chongyang Gao
Soroush Vosoughi
VLM
18
32
0
03 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Embedding Hallucination for Few-Shot Language Fine-tuning
Yiren Jian
Chongyang Gao
Soroush Vosoughi
23
4
0
03 May 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language
  Explanations
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon
Sayan Ghosh
Shashank Srivastava
LRM
ELM
29
9
0
14 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language
  Models
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi
Luke Zettlemoyer
James Henderson
Marzieh Saeidi
Lambert Mathias
Ves Stoyanov
Majid Yazdani
VLM
34
69
0
03 Apr 2022
Dependency Learning for Legal Judgment Prediction with a Unified
  Text-to-Text Transformer
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer
Yunyun Huang
Xiaoyu Shen
Chuanyi Li
Jidong Ge
B. Luo
AILaw
25
19
0
13 Dec 2021
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based
  on Prompt Tuning of T5
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5
Chengwei Qin
Chenyu You
CLL
178
98
0
14 Oct 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
188
102
0
19 Sep 2021
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based
  Pre-Training
Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training
Momchil Hardalov
Arnav Arora
Preslav Nakov
Isabelle Augenstein
30
58
0
13 Sep 2021
Discrete and Soft Prompting for Multilingual Models
Discrete and Soft Prompting for Multilingual Models
Mengjie Zhao
Hinrich Schütze
LRM
18
71
0
08 Sep 2021
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original
  Pre-training Task--Next Sentence Prediction
NSP-BERT: A Prompt-based Few-Shot Learner Through an Original Pre-training Task--Next Sentence Prediction
Yi Sun
Yu Zheng
Chao Hao
Hangping Qiu
VLM
41
37
0
08 Sep 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALM
UQCV
35
3,576
0
03 Sep 2021
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Do Prompt-Based Models Really Understand the Meaning of their Prompts?
Albert Webson
Ellie Pavlick
LRM
53
355
0
02 Sep 2021
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Noisy Channel Language Model Prompting for Few-Shot Text Classification
Sewon Min
Michael Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
VLM
37
218
0
09 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLM
SyDa
40
3,838
0
28 Jul 2021
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Liang Xu
Xiaojing Lu
Chenyang Yuan
Xuanwei Zhang
Huilin Xu
...
Guoao Wei
X. Pan
Xin Tian
Libo Qin
Hai Hu
ELM
24
56
0
15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
205
104
0
15 Jul 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in
  NLP
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
Qinyuan Ye
Bill Yuchen Lin
Xiang Ren
220
180
0
18 Apr 2021
Cross-Task Generalization via Natural Language Crowdsourcing
  Instructions
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Hannaneh Hajishirzi
LRM
28
718
0
18 Apr 2021
Generating Datasets with Pretrained Language Models
Generating Datasets with Pretrained Language Models
Timo Schick
Hinrich Schütze
13
234
0
15 Apr 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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