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MetaICL: Learning to Learn In Context
v1v2 (latest)

MetaICL: Learning to Learn In Context

North American Chapter of the Association for Computational Linguistics (NAACL), 2021
29 October 2021
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
    LRM
ArXiv (abs)PDFHTML

Papers citing "MetaICL: Learning to Learn In Context"

50 / 388 papers shown
ICE-SEARCH: A Language Model-Driven Feature Selection Approach
ICE-SEARCH: A Language Model-Driven Feature Selection Approach
T. Yang
Tim Tianyi Yang
Fuyuan Lyu
Shaoshan Liu
Xue
Xue Liu
475
7
0
28 Feb 2024
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
Zihao Yi
Jiarui Ouyang
Yuwen Liu
Yuwen Liu
Tianhao Liao
Haohao Luo
Ying Shen
LRMLLMAG
399
152
0
28 Feb 2024
Investigating the Effectiveness of HyperTuning via Gisting
Investigating the Effectiveness of HyperTuning via Gisting
Jason Phang
296
2
0
26 Feb 2024
In-Context Learning of a Linear Transformer Block: Benefits of the MLP
  Component and One-Step GD Initialization
In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization
Ruiqi Zhang
Jingfeng Wu
Peter L. Bartlett
307
29
0
22 Feb 2024
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks
Minju Seo
Jinheon Baek
James Thorne
Sung Ju Hwang
RALM
234
19
0
21 Feb 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A
  Multidimensional Analysis
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
Miaoran Zhang
Vagrant Gautam
Mingyang Wang
Jesujoba Oluwadara Alabi
Xiaoyu Shen
Dietrich Klakow
Marius Mosbach
244
13
0
20 Feb 2024
An Empirical Categorization of Prompting Techniques for Large Language
  Models: A Practitioner's Guide
An Empirical Categorization of Prompting Techniques for Large Language Models: A Practitioner's Guide
Oluwole Fagbohun
Rachel M. Harrison
Anton Dereventsov
274
19
0
18 Feb 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language
  Model
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Ahmet Üstün
Viraat Aryabumi
Zheng-Xin Yong
Wei-Yin Ko
Daniel D'souza
...
Shayne Longpre
Niklas Muennighoff
Marzieh Fadaee
Julia Kreutzer
Sara Hooker
ALMELMSyDaLRM
245
321
0
12 Feb 2024
Aya Dataset: An Open-Access Collection for Multilingual Instruction
  Tuning
Aya Dataset: An Open-Access Collection for Multilingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Shivalika Singh
Freddie Vargus
Daniel D'souza
Börje F. Karlsson
Abinaya Mahendiran
...
Max Bartolo
Julia Kreutzer
Ahmet Üstün
Marzieh Fadaee
Sara Hooker
403
175
0
09 Feb 2024
NoisyICL: A Little Noise in Model Parameters Calibrates In-context
  Learning
NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Yufeng Zhao
Yoshihiro Sakai
Naoya Inoue
294
7
0
08 Feb 2024
In-Context Principle Learning from Mistakes
In-Context Principle Learning from Mistakes
Tianjun Zhang
Aman Madaan
Luyu Gao
Steven Zheng
Swaroop Mishra
Yiming Yang
Niket Tandon
Uri Alon
KELMReLM
203
38
0
08 Feb 2024
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning
  Tasks
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Jongho Park
Jaeseung Park
Zheyang Xiong
Nayoung Lee
Jaewoong Cho
Samet Oymak
Kangwook Lee
Dimitris Papailiopoulos
391
104
0
06 Feb 2024
Point and Instruct: Enabling Precise Image Editing by Unifying Direct
  Manipulation and Text Instructions
Point and Instruct: Enabling Precise Image Editing by Unifying Direct Manipulation and Text Instructions
Alec Helbling
Seongmin Lee
Polo Chau
124
1
0
05 Feb 2024
Can MLLMs Perform Text-to-Image In-Context Learning?
Can MLLMs Perform Text-to-Image In-Context Learning?
Yuchen Zeng
Wonjun Kang
Yicong Chen
Hyung Il Koo
Kangwook Lee
MLLM
263
14
0
02 Feb 2024
What Does the Bot Say? Opportunities and Risks of Large Language Models
  in Social Media Bot Detection
What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection
Shangbin Feng
Herun Wan
Ningnan Wang
Zhaoxuan Tan
Minnan Luo
Yulia Tsvetkov
AAMLDeLMO
425
36
0
01 Feb 2024
Superiority of Multi-Head Attention in In-Context Linear Regression
Superiority of Multi-Head Attention in In-Context Linear Regression
Yingqian Cui
Jie Ren
Pengfei He
Shucheng Zhou
Yue Xing
206
22
0
30 Jan 2024
An Information-Theoretic Analysis of In-Context Learning
An Information-Theoretic Analysis of In-Context LearningInternational Conference on Machine Learning (ICML), 2024
Hong Jun Jeon
Jason D. Lee
Qi Lei
Benjamin Van Roy
357
35
0
28 Jan 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe CalibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
242
17
0
22 Jan 2024
PsySafe: A Comprehensive Framework for Psychological-based Attack,
  Defense, and Evaluation of Multi-agent System Safety
PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System SafetyAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Zaibin Zhang
Yongting Zhang
Lijun Li
Hongzhi Gao
Lijun Wang
Huchuan Lu
Feng Zhao
Yu Qiao
Jing Shao
LLMAG
365
73
0
22 Jan 2024
In-context Learning with Retrieved Demonstrations for Language Models: A
  Survey
In-context Learning with Retrieved Demonstrations for Language Models: A Survey
an Luo
Xin Xu
Yue Liu
Panupong Pasupat
Mehran Kazemi
RALM
711
78
0
21 Jan 2024
Instructional Fingerprinting of Large Language Models
Instructional Fingerprinting of Large Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2024
Lyne Tchapmi
Fei Wang
Mingyu Derek Ma
Pang Wei Koh
Chaowei Xiao
Muhao Chen
WaLM
278
57
0
21 Jan 2024
Large Language Models for Scientific Information Extraction: An
  Empirical Study for Virology
Large Language Models for Scientific Information Extraction: An Empirical Study for Virology
Mahsa Shamsabadi
Jennifer D'Souza
Sören Auer
306
12
0
18 Jan 2024
Large Language Models Are Neurosymbolic Reasoners
Large Language Models Are Neurosymbolic ReasonersAAAI Conference on Artificial Intelligence (AAAI), 2024
Meng Fang
Shilong Deng
Yudi Zhang
Zijing Shi
Ling-Hao Chen
Mykola Pechenizkiy
Jun Wang
LRMLM&RoLLMAG
206
38
0
17 Jan 2024
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized
  Large Language Models
Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Zhengxin Zhang
Dan Zhao
Xupeng Miao
Xupeng Miao
Qing Li
Yong Jiang
Zhihao Jia
MQ
198
11
0
13 Jan 2024
Mind Your Format: Towards Consistent Evaluation of In-Context Learning
  Improvements
Mind Your Format: Towards Consistent Evaluation of In-Context Learning ImprovementsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Anton Voronov
Lena Wolf
Max Ryabinin
332
72
0
12 Jan 2024
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Misconfidence-based Demonstration Selection for LLM In-Context Learning
Shangqing Xu
Chao Zhang
235
23
0
12 Jan 2024
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for
  In-context Learning
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Shuai Zhao
Meihuizi Jia
Anh Tuan Luu
Fengjun Pan
Jinming Wen
AAML
489
70
0
11 Jan 2024
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust AdaptationInternational Conference on Machine Learning (ICML), 2024
Mahdi Nikdan
Soroush Tabesh
Elvir Crnčević
Dan Alistarh
501
45
0
09 Jan 2024
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
Chengwei Qin
Wenhan Xia
Fangkai Jiao
Chen Chen
Yuchen Hu
Bosheng Ding
R. Chen
Shafiq Joty
356
7
0
28 Dec 2023
Large Language Models are Miscalibrated In-Context Learners
Large Language Models are Miscalibrated In-Context Learners
Chengzu Li
Han Zhou
Goran Glavaš
Anna Korhonen
Ivan Vulić
226
11
0
21 Dec 2023
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
Enze Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLMLRMAI4CE
582
53
0
17 Dec 2023
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets
Dirk Groeneveld
Anas Awadalla
Iz Beltagy
Akshita Bhagia
Ian H. Magnusson
Hao Peng
Oyvind Tafjord
Pete Walsh
Kyle Richardson
Jesse Dodge
265
2
0
15 Dec 2023
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
ICL Markup: Structuring In-Context Learning using Soft-Token Tags
Marc-Etienne Brunet
Ashton Anderson
R. Zemel
187
6
0
12 Dec 2023
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
O. Ovadia
Menachem Brief
Moshik Mishaeli
Oren Elisha
RALM
425
225
0
10 Dec 2023
Toward Open-ended Embodied Tasks Solving
Toward Open-ended Embodied Tasks Solving
William Wei Wang
Dongqi Han
Xufang Luo
Yifei Shen
Charles Ling
Boyu Wang
Dongsheng Li
AI4CE
204
5
0
10 Dec 2023
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial
  Natural Language Instructions
DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions
Fangzhou Wu
Xiaogeng Liu
Chaowei Xiao
AAMLSILM
310
37
0
07 Dec 2023
Hijacking Context in Large Multi-modal Models
Hijacking Context in Large Multi-modal Models
Joonhyun Jeong
MLLM
259
11
0
07 Dec 2023
Compressed Context Memory For Online Language Model Interaction
Compressed Context Memory For Online Language Model Interaction
Jang-Hyun Kim
Junyoung Yeom
Sangdoo Yun
Hyun Oh Song
KELM
308
27
1
06 Dec 2023
Towards More Unified In-context Visual Understanding
Towards More Unified In-context Visual UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Dianmo Sheng
DongDong Chen
Zhentao Tan
Qiankun Liu
Qi Chu
Jianmin Bao
Tao Gong
Bin Liu
Shengwei Xu
Nenghai Yu
MLLMVLM
213
13
0
05 Dec 2023
MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following
MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-FollowingInternational Conference on Learning Representations (ICLR), 2023
Renze Lou
Kai Zhang
Jian Xie
Yuxuan Sun
Janice Ahn
Hanzi Xu
Yu Su
Wenpeng Yin
265
36
0
05 Dec 2023
Improving In-Context Learning in Diffusion Models with Visual
  Context-Modulated Prompts
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
VLM
225
6
0
03 Dec 2023
Dolphins: Multimodal Language Model for Driving
Dolphins: Multimodal Language Model for DrivingEuropean Conference on Computer Vision (ECCV), 2023
Yingzi Ma
Yulong Cao
Jiachen Sun
Marco Pavone
Chaowei Xiao
MLLM
326
124
0
01 Dec 2023
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context
  Learning
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context LearningComputer Vision and Pattern Recognition (CVPR), 2023
Chaoyi Zhang
Kevin Qinghong Lin
Zhengyuan Yang
Jianfeng Wang
Linjie Li
Chung-Ching Lin
Zicheng Liu
Lijuan Wang
VGen
250
49
0
29 Nov 2023
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Surpassing GPT-4 Medical Coding with a Two-Stage Approach
Zhichao Yang
S. S. Batra
Joel Stremmel
Eran Halperin
ELM
277
11
0
22 Nov 2023
Drilling Down into the Discourse Structure with LLMs for Long Document
  Question Answering
Drilling Down into the Discourse Structure with LLMs for Long Document Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Inderjeet Nair
Shwetha Somasundaram
Apoorv Saxena
Koustava Goswami
RALM
225
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22 Nov 2023
Visual Analytics for Generative Transformer Models
Visual Analytics for Generative Transformer Models
Raymond Li
Ruixin Yang
Wen Xiao
Ahmed AbuRaed
Gabriel Murray
Giuseppe Carenini
220
3
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21 Nov 2023
How Far Can We Extract Diverse Perspectives from Large Language Models?
How Far Can We Extract Diverse Perspectives from Large Language Models?
Shirley Anugrah Hayati
Linghe Wang
Dheeraj Rajagopal
Luan Tuyen Chau
359
15
0
16 Nov 2023
SQATIN: Supervised Instruction Tuning Meets Question Answering for
  Improved Dialogue NLU
SQATIN: Supervised Instruction Tuning Meets Question Answering for Improved Dialogue NLU
E. Razumovskaia
Goran Glavaš
Anna Korhonen
Ivan Vulić
LRM
309
6
0
16 Nov 2023
In-context Learning Generalizes, But Not Always Robustly: The Case of
  Syntax
In-context Learning Generalizes, But Not Always Robustly: The Case of SyntaxNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Aaron Mueller
Albert Webson
Jackson Petty
Tal Linzen
ReLMLRM
254
21
0
13 Nov 2023
In-Context Learning for MIMO Equalization Using Transformer-Based
  Sequence Models
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models
Matteo Zecchin
Kai Yu
Osvaldo Simeone
278
21
0
10 Nov 2023
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