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How Many Data Points is a Prompt Worth?

How Many Data Points is a Prompt Worth?

15 March 2021
Teven Le Scao
Alexander M. Rush
    VLM
ArXivPDFHTML

Papers citing "How Many Data Points is a Prompt Worth?"

50 / 192 papers shown
Title
Improving Task Generalization via Unified Schema Prompt
Improving Task Generalization via Unified Schema Prompt
Wanjun Zhong
Yifan Gao
Ning Ding
Zhiyuan Liu
Ming Zhou
Jiahai Wang
Jian Yin
Nan Duan
15
8
0
05 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
19
5
0
01 Aug 2022
STT: Soft Template Tuning for Few-Shot Adaptation
STT: Soft Template Tuning for Few-Shot Adaptation
Ping Yu
Wei Wang
Chunyuan Li
Ruiyi Zhang
Zhanpeng Jin
Changyou Chen
VLM
16
0
0
18 Jul 2022
On the Robustness of Dialogue History Representation in Conversational
  Question Answering: A Comprehensive Study and a New Prompt-based Method
On the Robustness of Dialogue History Representation in Conversational Question Answering: A Comprehensive Study and a New Prompt-based Method
Zorik Gekhman
Nadav Oved
Orgad Keller
Idan Szpektor
Roi Reichart
14
8
0
29 Jun 2022
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Few-Shot Stance Detection via Target-Aware Prompt Distillation
Yan Jiang
Jinhua Gao
Huawei Shen
Xueqi Cheng
8
27
0
27 Jun 2022
Low Resource Pipeline for Spoken Language Understanding via Weak
  Supervision
Low Resource Pipeline for Spoken Language Understanding via Weak Supervision
Ayush Kumar
R. Tripathi
Jithendra Vepa
4
1
0
21 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning
  Tasks
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
32
125
0
14 Jun 2022
DynaMaR: Dynamic Prompt with Mask Token Representation
DynaMaR: Dynamic Prompt with Mask Token Representation
Xiaodi Sun
Sunny Rajagopalan
Priyank Nigam
Weiyi Lu
Yi Xu
Belinda Zeng
Trishul M. Chilimbi
17
1
0
07 Jun 2022
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Neuro-Symbolic Procedural Planning with Commonsense Prompting
Yujie Lu
Weixi Feng
Wanrong Zhu
Wenda Xu
X. Wang
M. Eckstein
William Yang Wang
LM&Ro
6
36
0
06 Jun 2022
Making Large Language Models Better Reasoners with Step-Aware Verifier
Making Large Language Models Better Reasoners with Step-Aware Verifier
Yifei Li
Zeqi Lin
Shizhuo Zhang
Qiang Fu
B. Chen
Jian-Guang Lou
Weizhu Chen
ReLM
LRM
36
207
0
06 Jun 2022
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained
  Models
Prompting ELECTRA: Few-Shot Learning with Discriminative Pre-Trained Models
Mengzhou Xia
Mikel Artetxe
Jingfei Du
Danqi Chen
Ves Stoyanov
16
6
0
30 May 2022
Asking the Right Questions in Low Resource Template Extraction
Asking the Right Questions in Low Resource Template Extraction
Nils Holzenberger
Yunmo Chen
Benjamin Van Durme
41
4
0
25 May 2022
Why only Micro-F1? Class Weighting of Measures for Relation
  Classification
Why only Micro-F1? Class Weighting of Measures for Relation Classification
David Harbecke
Yuxuan Chen
Leonhard Hennig
Christoph Alt
21
19
0
19 May 2022
Are Prompt-based Models Clueless?
Are Prompt-based Models Clueless?
Pride Kavumba
Ryo Takahashi
Yusuke Oda
VLM
125
13
0
19 May 2022
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than
  In-Context Learning
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Haokun Liu
Derek Tam
Mohammed Muqeeth
Jay Mohta
Tenghao Huang
Mohit Bansal
Colin Raffel
33
847
0
11 May 2022
Making Pretrained Language Models Good Long-tailed Learners
Making Pretrained Language Models Good Long-tailed Learners
Chen Zhang
Lei Ren
Jingang Wang
Wei Yu Wu
Dawei Song
RALM
VLM
20
8
0
11 May 2022
Towards Unified Prompt Tuning for Few-shot Text Classification
Towards Unified Prompt Tuning for Few-shot Text Classification
J. Wang
Chengyu Wang
Fuli Luo
Chuanqi Tan
Minghui Qiu
Fei Yang
Qiuhui Shi
Songfang Huang
Ming Gao
VLM
30
27
0
11 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
Learning to Transfer Prompts for Text Generation
Learning to Transfer Prompts for Text Generation
Junyi Li
Tianyi Tang
J. Nie
Ji-Rong Wen
Wayne Xin Zhao
13
40
0
03 May 2022
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot
  with Multi-Source Learning
Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning
Oscar Sainz
Itziar Gonzalez-Dios
Oier López de Lacalle
Bonan Min
Eneko Agirre
19
49
0
03 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
39
3,486
0
02 May 2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot
  Classification
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Han Wang
Canwen Xu
Julian McAuley
VLM
13
12
0
13 Apr 2022
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
F. Toni
Christopher Akiki
Javier de la Rosa
Clémentine Fourrier
Enrique Manjavacas
Stefan Schweter
Daniel Alexander van Strien
31
10
0
11 Apr 2022
Show, Don't Tell: Demonstrations Outperform Descriptions for
  Schema-Guided Task-Oriented Dialogue
Show, Don't Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue
Raghav Gupta
Harrison Lee
Jeffrey Zhao
Abhinav Rastogi
Yuan Cao
Yonghui Wu
25
24
0
08 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRM
ReLM
31
283
0
05 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
Making Pre-trained Language Models End-to-end Few-shot Learners with
  Contrastive Prompt Tuning
Making Pre-trained Language Models End-to-end Few-shot Learners with Contrastive Prompt Tuning
Ziyun Xu
Chengyu Wang
Minghui Qiu
Fuli Luo
Runxin Xu
Songfang Huang
Jun Huang
VLM
32
31
0
01 Apr 2022
Leveraging pre-trained language models for conversational information
  seeking from text
Leveraging pre-trained language models for conversational information seeking from text
Patrizio Bellan
M. Dragoni
Chiara Ghidini
16
6
0
31 Mar 2022
Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting
Evaluating Prompts Across Multiple Choice Tasks In a Zero-Shot Setting
Gabriel Orlanski
LRM
17
2
0
29 Mar 2022
Few-Shot Learning with Siamese Networks and Label Tuning
Few-Shot Learning with Siamese Networks and Label Tuning
Thomas Müller
Guillermo Pérez-Torró
Marc Franco-Salvador
VLM
17
38
0
28 Mar 2022
One Country, 700+ Languages: NLP Challenges for Underrepresented
  Languages and Dialects in Indonesia
One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia
Alham Fikri Aji
Genta Indra Winata
Fajri Koto
Samuel Cahyawijaya
Ade Romadhony
...
David Moeljadi
Radityo Eko Prasojo
Timothy Baldwin
Jey Han Lau
Sebastian Ruder
38
98
0
24 Mar 2022
How Many Data Samples is an Additional Instruction Worth?
How Many Data Samples is an Additional Instruction Worth?
Ravsehaj Singh Puri
Swaroop Mishra
Mihir Parmar
Chitta Baral
14
17
0
17 Mar 2022
Multilingual Generative Language Models for Zero-Shot Cross-Lingual
  Event Argument Extraction
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
Kuan-Hao Huang
I-Hung Hsu
Premkumar Natarajan
Kai-Wei Chang
Nanyun Peng
33
65
0
15 Mar 2022
Modular and Parameter-Efficient Multimodal Fusion with Prompting
Modular and Parameter-Efficient Multimodal Fusion with Prompting
Sheng Liang
Mengjie Zhao
Hinrich Schütze
23
42
0
15 Mar 2022
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large
  Language Models
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models
Archiki Prasad
Peter Hase
Xiang Zhou
Mohit Bansal
15
117
0
14 Mar 2022
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
...
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
13
196
0
14 Mar 2022
On the data requirements of probing
On the data requirements of probing
Zining Zhu
Jixuan Wang
Bai Li
Frank Rudzicz
19
5
0
25 Feb 2022
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified
  Multilingual Prompt
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Lianzhe Huang
Shuming Ma
Dongdong Zhang
Furu Wei
Houfeng Wang
VLM
LRM
12
32
0
23 Feb 2022
$\mathcal{Y}$-Tuning: An Efficient Tuning Paradigm for Large-Scale
  Pre-Trained Models via Label Representation Learning
Y\mathcal{Y}Y-Tuning: An Efficient Tuning Paradigm for Large-Scale Pre-Trained Models via Label Representation Learning
Yitao Liu
Chen An
Xipeng Qiu
27
16
0
20 Feb 2022
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
Meng Zhou
Xin Li
Yuechun Jiang
Lidong Bing
LRM
26
5
0
15 Feb 2022
Generating Training Data with Language Models: Towards Zero-Shot
  Language Understanding
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Yu Meng
Jiaxin Huang
Yu Zhang
Jiawei Han
SyDa
30
228
0
09 Feb 2022
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Prompt-Guided Injection of Conformation to Pre-trained Protein Model
Qiang Zhang
Zeyuan Wang
Yuqiang Han
Haoran Yu
Xurui Jin
Huajun Chen
23
3
0
07 Feb 2022
PromptSource: An Integrated Development Environment and Repository for
  Natural Language Prompts
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Stephen H. Bach
Victor Sanh
Zheng-Xin Yong
Albert Webson
Colin Raffel
...
Khalid Almubarak
Xiangru Tang
Dragomir R. Radev
Mike Tian-Jian Jiang
Alexander M. Rush
VLM
225
338
0
02 Feb 2022
Co-training Improves Prompt-based Learning for Large Language Models
Co-training Improves Prompt-based Learning for Large Language Models
Hunter Lang
Monica Agrawal
Yoon Kim
David Sontag
VLM
LRM
162
39
0
02 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
317
8,448
0
28 Jan 2022
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access
Vilém Zouhar
Marius Mosbach
Debanjali Biswas
Dietrich Klakow
KELM
19
4
0
24 Jan 2022
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves
  Zero-Shot Generalization
ZeroPrompt: Scaling Prompt-Based Pretraining to 1,000 Tasks Improves Zero-Shot Generalization
Hanwei Xu
Yujun Chen
Yulun Du
Nan Shao
Yanggang Wang
Haiyu Li
Zhilin Yang
VLM
LRM
AI4CE
22
69
0
18 Jan 2022
Memory-assisted prompt editing to improve GPT-3 after deployment
Memory-assisted prompt editing to improve GPT-3 after deployment
Aman Madaan
Niket Tandon
Peter Clark
Yiming Yang
KELM
27
0
0
16 Jan 2022
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking
Yuting Yang
Wenqiang Lei
Pei Huang
Juan Cao
Jintao Li
Tat-Seng Chua
19
14
0
15 Jan 2022
A Unified Review of Deep Learning for Automated Medical Coding
A Unified Review of Deep Learning for Automated Medical Coding
Shaoxiong Ji
Wei Sun
Xiaobo Li
Hang Dong
Ara Taalas
Yijia Zhang
Honghan Wu
Esa Pitkänen
Pekka Marttinen
AI4TS
MedIm
19
27
0
08 Jan 2022
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