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MetaICL: Learning to Learn In Context

MetaICL: Learning to Learn In Context

29 October 2021
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
    LRM
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Papers citing "MetaICL: Learning to Learn In Context"

50 / 101 papers shown
Title
Vector-ICL: In-context Learning with Continuous Vector Representations
Vector-ICL: In-context Learning with Continuous Vector Representations
Yufan Zhuang
Chandan Singh
Liyuan Liu
Jingbo Shang
Jianfeng Gao
114
6
0
21 Feb 2025
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
Haoyuan Wu
Haisheng Zheng
Zhuolun He
Bei Yu
85
1
0
15 Feb 2025
Mathematical Language Models: A Survey
Mathematical Language Models: A Survey
Wen Liu
Hanglei Hu
Jie Zhou
Yuyang Ding
Junsong Li
...
Mengliang He
Qin Chen
Bo Jiang
Aimin Zhou
Liang He
LRM
163
14
0
03 Jan 2025
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Out-of-distribution generalization via composition: a lens through induction heads in Transformers
Jiajun Song
Zhuoyan Xu
Yiqiao Zhong
128
10
0
31 Dec 2024
In-Context Learning with Iterative Demonstration Selection
In-Context Learning with Iterative Demonstration Selection
Chengwei Qin
Aston Zhang
Chong Chen
Anirudh Dagar
Wenming Ye
LRM
138
49
0
31 Dec 2024
Teaching VLMs to Localize Specific Objects from In-context Examples
Teaching VLMs to Localize Specific Objects from In-context Examples
Sivan Doveh
Nimrod Shabtay
Wei Lin
Eli Schwartz
Hilde Kuehne
...
Leonid Karlinsky
James Glass
Assaf Arbelle
S. Ullman
Muhammad Jehanzeb Mirza
VLM
143
1
0
20 Nov 2024
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements
M. Arda Aydın
Efe Mert Çırpar
Elvin Abdinli
Gözde B. Ünal
Y. Sahin
VLM
231
1
0
18 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
114
5
0
24 Oct 2024
ELICIT: LLM Augmentation via External In-Context Capability
ELICIT: LLM Augmentation via External In-Context Capability
Futing Wang
Jianhao Yan
Yue Zhang
Tao Lin
96
1
0
12 Oct 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan
Pingzhi Li
Sukwon Yun
Zhenyu Wang
S. Nirjon
Chau-Wai Wong
Tianlong Chen
KELM
85
3
0
08 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models
Muhammad Jehanzeb Mirza
Mengjie Zhao
Zhuoyuan Mao
Sivan Doveh
Wei Lin
...
Yuki Mitsufuji
Horst Possegger
Rogerio Feris
Leonid Karlinsky
James Glass
VLM
140
1
0
08 Oct 2024
Token-based Decision Criteria Are Suboptimal in In-context Learning
Token-based Decision Criteria Are Suboptimal in In-context Learning
Hakaze Cho
Yoshihiro Sakai
Mariko Kato
Kenshiro Tanaka
Akira Ishii
Naoya Inoue
92
5
0
24 Jun 2024
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
From Instance Training to Instruction Learning: Task Adapters Generation from Instructions
Huanxuan Liao
Yao Xu
Shizhu He
Yuanzhe Zhang
Yanchao Hao
Shengping Liu
Kang Liu
Jun Zhao
105
1
0
18 Jun 2024
Unsupervised Meta-Learning via In-Context Learning
Unsupervised Meta-Learning via In-Context Learning
Anna Vettoruzzo
Lorenzo Braccaioli
Joaquin Vanschoren
M. Nowaczyk
SSL
93
1
0
25 May 2024
Contextual Emotion Recognition using Large Vision Language Models
Contextual Emotion Recognition using Large Vision Language Models
Yasaman Etesam
Özge Nilay Yalçin
Chuxuan Zhang
Angelica Lim
VLM
91
4
0
14 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration
In-Context Learning with Long-Context Models: An In-Depth Exploration
Amanda Bertsch
Maor Ivgi
Uri Alon
Jonathan Berant
Matthew R. Gormley
Matthew R. Gormley
Graham Neubig
ReLM
AIMat
158
78
0
30 Apr 2024
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Transformers are Provably Optimal In-context Estimators for Wireless Communications
Vishnu Teja Kunde
Vicram Rajagopalan
Chandra Shekhara Kaushik Valmeekam
Krishna R. Narayanan
S. Shakkottai
D. Kalathil
J. Chamberland
87
5
0
01 Nov 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLL
KELM
144
305
0
17 Aug 2023
In-Context Learning for Few-Shot Dialogue State Tracking
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu
Chia-Hsuan Lee
Tianbao Xie
Tao Yu
Noah A. Smith
Mari Ostendorf
BDL
79
61
0
16 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
342
1,700
0
15 Oct 2021
Meta-learning via Language Model In-context Tuning
Meta-learning via Language Model In-context Tuning
Yanda Chen
Ruiqi Zhong
Sheng Zha
George Karypis
He He
288
161
0
15 Oct 2021
8-bit Optimizers via Block-wise Quantization
8-bit Optimizers via Block-wise Quantization
Tim Dettmers
M. Lewis
Sam Shleifer
Luke Zettlemoyer
MQ
107
297
0
06 Oct 2021
Reframing Instructional Prompts to GPTk's Language
Reframing Instructional Prompts to GPTk's Language
Swaroop Mishra
Daniel Khashabi
Chitta Baral
Yejin Choi
Hannaneh Hajishirzi
75
217
0
16 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
122
3,742
0
03 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
74
219
0
09 Aug 2021
True Few-Shot Learning with Language Models
True Few-Shot Learning with Language Models
Ethan Perez
Douwe Kiela
Kyunghyun Cho
115
437
0
24 May 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
280
184
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
392
1,181
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
127
745
0
18 Apr 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always Right
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
94
237
0
16 Apr 2021
Adapting Language Models for Zero-shot Learning by Meta-tuning on
  Dataset and Prompt Collections
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections
Ruiqi Zhong
Kristy Lee
Zheng Zhang
Dan Klein
92
173
0
10 Apr 2021
Muppet: Massive Multi-task Representations with Pre-Finetuning
Muppet: Massive Multi-task Representations with Pre-Finetuning
Armen Aghajanyan
Anchit Gupta
Akshat Shrivastava
Xilun Chen
Luke Zettlemoyer
Sonal Gupta
68
268
0
26 Jan 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew
Punyajoy Saha
Seid Muhie Yimam
Chris Biemann
Pawan Goyal
Animesh Mukherjee
112
575
0
18 Dec 2020
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
445
1,915
0
14 Dec 2020
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann
Jordan L. Boyd-Graber
Jannis Bulian
Massimiliano Ciaramita
Markus Leippold
79
203
0
01 Dec 2020
Investigating Societal Biases in a Poetry Composition System
Investigating Societal Biases in a Poetry Composition System
Emily Sheng
David C. Uthus
64
53
0
05 Nov 2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet
  Classification
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri
Jose Camacho-Collados
Leonardo Neves
Luis Espinosa-Anke
VLM
77
720
0
23 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
254
261
0
19 Oct 2020
"I'd rather just go to bed": Understanding Indirect Answers
"I'd rather just go to bed": Understanding Indirect Answers
Annie Louis
Dan Roth
Filip Radlinski
47
43
0
07 Oct 2020
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked
  Language Models
CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models
Nikita Nangia
Clara Vania
Rasika Bhalerao
Samuel R. Bowman
111
679
0
30 Sep 2020
Effective Transfer Learning for Identifying Similar Questions: Matching
  User Questions to COVID-19 FAQs
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs
Clara H. McCreery
Namit Katariya
A. Kannan
Manish Chablani
X. Amatriain
MedIm
OOD
28
74
0
04 Aug 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
721
41,894
0
28 May 2020
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
Petros Stavropoulos
Dimitris Pappas
Ion Androutsopoulos
Ryan T. McDonald
39
51
0
13 May 2020
How Context Affects Language Models' Factual Predictions
How Context Affects Language Models' Factual Predictions
Fabio Petroni
Patrick Lewis
Aleksandra Piktus
Tim Rocktaschel
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
49
239
0
10 May 2020
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense
  Reasoning
ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning
Michael Boratko
Xiang Lorraine Li
Rajarshi Das
Timothy J. O'Gorman
Daniel Le
Andrew McCallum
71
58
0
02 May 2020
UnifiedQA: Crossing Format Boundaries With a Single QA System
UnifiedQA: Crossing Format Boundaries With a Single QA System
Daniel Khashabi
Sewon Min
Tushar Khot
Ashish Sabharwal
Oyvind Tafjord
Peter Clark
Hannaneh Hajishirzi
122
735
0
02 May 2020
Birds have four legs?! NumerSense: Probing Numerical Commonsense
  Knowledge of Pre-trained Language Models
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models
Bill Yuchen Lin
Seyeon Lee
Rahul Khanna
Xiang Ren
AIMat
53
158
0
02 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
434
42,393
0
03 Dec 2019
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
BLiMP: The Benchmark of Linguistic Minimal Pairs for English
Alex Warstadt
Alicia Parrish
Haokun Liu
Anhad Mohananey
Wei Peng
Sheng-Fu Wang
Samuel R. Bowman
72
491
0
02 Dec 2019
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OOD
LRM
123
1,789
0
26 Nov 2019
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