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True Few-Shot Learning with Language Models

True Few-Shot Learning with Language Models

24 May 2021
Ethan Perez
Douwe Kiela
Kyunghyun Cho
ArXivPDFHTML

Papers citing "True Few-Shot Learning with Language Models"

45 / 95 papers shown
Title
Towards Realistic Low-resource Relation Extraction: A Benchmark with
  Empirical Baseline Study
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study
Xin Xu
Xiang Chen
Ningyu Zhang
Xin Xie
Xi Chen
Huajun Chen
15
10
0
19 Oct 2022
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun
Nathan Scales
Nathanael Scharli
Sebastian Gehrmann
Yi Tay
...
Aakanksha Chowdhery
Quoc V. Le
Ed H. Chi
Denny Zhou
Jason W. Wei
ALM
ELM
LRM
ReLM
69
993
0
17 Oct 2022
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of
  In-Context Experts
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts
Nghia T. Le
Fan Bai
Alan Ritter
29
12
0
07 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
106
93
0
06 Oct 2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Tushar Khot
H. Trivedi
Matthew Finlayson
Yao Fu
Kyle Richardson
Peter Clark
Ashish Sabharwal
ReLM
LRM
59
414
0
05 Oct 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
211
1,105
0
20 Sep 2022
On the Relation between Sensitivity and Accuracy in In-context Learning
On the Relation between Sensitivity and Accuracy in In-context Learning
Yanda Chen
Chen Zhao
Zhou Yu
Kathleen McKeown
He He
180
77
0
16 Sep 2022
Revisiting the Practical Effectiveness of Constituency Parse Extraction
  from Pre-trained Language Models
Revisiting the Practical Effectiveness of Constituency Parse Extraction from Pre-trained Language Models
Taeuk Kim
37
1
0
15 Sep 2022
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation
  with Large Language Models
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models
Hendrik Strobelt
Albert Webson
Victor Sanh
Benjamin Hoover
Johanna Beyer
Hanspeter Pfister
Alexander M. Rush
VLM
22
135
0
16 Aug 2022
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in
  German from a Patient's Perspective
Cross-lingual Approaches for the Detection of Adverse Drug Reactions in German from a Patient's Perspective
Lisa Raithel
Philippe E. Thomas
Roland Roller
Oliver Sapina
Sebastian Möller
Pierre Zweigenbaum
11
2
0
03 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
23
5
0
01 Aug 2022
A No-Code Low-Code Paradigm for Authoring Business Automations Using
  Natural Language
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language
Michael Desmond
E. Duesterwald
Vatche Isahagian
Vinod Muthusamy
13
3
0
15 Jul 2022
Using dependency parsing for few-shot learning in distributional
  semantics
Using dependency parsing for few-shot learning in distributional semantics
S. Preda
Guy Edward Toh Emerson
25
0
0
12 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
46
3,328
0
29 Apr 2022
mGPT: Few-Shot Learners Go Multilingual
mGPT: Few-Shot Learners Go Multilingual
Oleh Shliazhko
Alena Fenogenova
Maria Tikhonova
Vladislav Mikhailov
Anastasia Kozlova
Tatiana Shavrina
38
148
0
15 Apr 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
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
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression
  Comprehension
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
Sanjay Subramanian
William Merrill
Trevor Darrell
Matt Gardner
Sameer Singh
Anna Rohrbach
ObjD
19
123
0
12 Apr 2022
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization
Xiaochen Liu
Yang Gao
Yu Bai
Jiawei Li
Yinan Hu
Yang Gao
Boxing Chen
32
22
0
09 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
36
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
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both
  Language and Vision-and-Language Tasks
HyperPELT: Unified Parameter-Efficient Language Model Tuning for Both Language and Vision-and-Language Tasks
Zhengkun Zhang
Wenya Guo
Xiaojun Meng
Yasheng Wang
Yadao Wang
Xin Jiang
Qun Liu
Zhenglu Yang
26
15
0
08 Mar 2022
AdaPrompt: Adaptive Model Training for Prompt-based NLP
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen
Yang Liu
Li Dong
Shuohang Wang
Chenguang Zhu
Michael Zeng
Yue Zhang
VLM
16
45
0
10 Feb 2022
Black-Box Tuning for Language-Model-as-a-Service
Black-Box Tuning for Language-Model-as-a-Service
Tianxiang Sun
Yunfan Shao
Hong Qian
Xuanjing Huang
Xipeng Qiu
VLM
48
255
0
10 Jan 2022
Few-shot Learning with Multilingual Language Models
Few-shot Learning with Multilingual Language Models
Xi Victoria Lin
Todor Mihaylov
Mikel Artetxe
Tianlu Wang
Shuohui Chen
...
Luke Zettlemoyer
Zornitsa Kozareva
Mona T. Diab
Ves Stoyanov
Xian Li
BDL
ELM
LRM
64
284
0
20 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
19
142
0
16 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MA
VLM
AI4CE
69
1,029
0
01 Nov 2021
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
40
466
0
29 Oct 2021
Language Models are Few-shot Multilingual Learners
Language Models are Few-shot Multilingual Learners
Genta Indra Winata
Andrea Madotto
Zhaojiang Lin
Rosanne Liu
J. Yosinski
Pascale Fung
ELM
LRM
26
132
0
16 Sep 2021
PPT: Pre-trained Prompt Tuning for Few-shot Learning
PPT: Pre-trained Prompt Tuning for Few-shot Learning
Yuxian Gu
Xu Han
Zhiyuan Liu
Minlie Huang
VLM
34
401
0
09 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
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
23
3,828
0
28 Jul 2021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with
  Language Models
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Robert L Logan IV
Ivana Balavzević
Eric Wallace
Fabio Petroni
Sameer Singh
Sebastian Riedel
VPVLM
31
207
0
24 Jun 2021
Question Answering Infused Pre-training of General-Purpose
  Contextualized Representations
Question Answering Infused Pre-training of General-Purpose Contextualized Representations
Robin Jia
M. Lewis
Luke Zettlemoyer
18
28
0
15 Jun 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi
James Henderson
Sebastian Ruder
MoE
33
467
0
08 Jun 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
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,120
0
18 Apr 2021
Relational World Knowledge Representation in Contextual Language Models:
  A Review
Relational World Knowledge Representation in Contextual Language Models: A Review
Tara Safavi
Danai Koutra
KELM
30
51
0
12 Apr 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 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
1,918
0
31 Dec 2020
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
211
138
0
08 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
1,587
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
408
2,584
0
03 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,681
0
09 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
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