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Improving and Simplifying Pattern Exploiting Training

Improving and Simplifying Pattern Exploiting Training

22 March 2021
Derek Tam
Rakesh R Menon
Mohit Bansal
Shashank Srivastava
Colin Raffel
ArXivPDFHTML

Papers citing "Improving and Simplifying Pattern Exploiting Training"

28 / 28 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
0
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
13
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
19
11
0
28 Sep 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
11
1
0
05 Mar 2023
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
39
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
58
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
11
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
28
181
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
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
16
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
34
226
0
16 Jun 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
25
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
27
63
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
11
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
18
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
21
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
22
19
0
13 Dec 2021
Towards Zero-Label Language Learning
Towards Zero-Label Language Learning
Zirui Wang
Adams Wei Yu
Orhan Firat
Yuan Cao
SyDa
180
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
14
58
0
13 Sep 2021
Discrete and Soft Prompting for Multilingual Models
Discrete and Soft Prompting for Multilingual Models
Mengjie Zhao
Hinrich Schütze
LRM
10
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
25
36
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
31
3,560
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
30
351
0
02 Sep 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
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
209
179
0
18 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
241
1,916
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
1,586
0
21 Jan 2020
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