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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
ArXivPDFHTML

Papers citing "MetaICL: Learning to Learn In Context"

50 / 359 papers shown
Title
Characteristic AI Agents via Large Language Models
Characteristic AI Agents via Large Language Models
Xi Wang
Hongliang Dai
Shen Gao
Piji Li
43
3
0
19 Mar 2024
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning
Yongshuo Zong
Ondrej Bohdal
Timothy M. Hospedales
28
5
0
19 Mar 2024
Towards Understanding the Relationship between In-context Learning and
  Compositional Generalization
Towards Understanding the Relationship between In-context Learning and Compositional Generalization
Sungjun Han
Sebastian Padó
CoGe
21
2
0
18 Mar 2024
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Sivan Doveh
Jakub Micorek
Mateusz Koziñski
Hilde Kuhene
Horst Possegger
VLM
MLLM
39
13
0
18 Mar 2024
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive
  Speech Detection via Large Language Models
HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models
H. Nghiem
Hal Daumé
31
1
0
18 Mar 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through
  Sparse Interpolated Experts
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Shengzhuang Chen
Jihoon Tack
Yunqiao Yang
Yee Whye Teh
Jonathan Richard Schwarz
Ying Wei
MoE
35
1
0
13 Mar 2024
Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
Lei Zhu
Fangyun Wei
Yanye Lu
MLLM
VLM
44
17
0
12 Mar 2024
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A
  Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang
Yuwei Wang
Yang Li
Yi Zeng
42
0
0
12 Mar 2024
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis
Yanming Liu
Xinyue Peng
Tianyu Du
Jianwei Yin
Weihao Liu
Xuhong Zhang
LRM
30
16
0
11 Mar 2024
In-context Prompt Learning for Test-time Vision Recognition with Frozen
  Vision-language Model
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model
Junhui Yin
Xinyu Zhang
Lin Wu
Xianghua Xie
Xiaojie Wang
VPVLM
VLM
MLLM
25
2
0
10 Mar 2024
Concept-aware Data Construction Improves In-context Learning of Language
  Models
Concept-aware Data Construction Improves In-context Learning of Language Models
Michal Štefánik
Marek Kadlcík
Petr Sojka
46
0
0
08 Mar 2024
"In Dialogues We Learn": Towards Personalized Dialogue Without
  Pre-defined Profiles through In-Dialogue Learning
"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning
Chuanqi Cheng
Quan Tu
Wei Yu Wu
Shuo Shang
Cunli Mao
Zhengtao Yu
Rui Yan
31
2
0
05 Mar 2024
Analyzing and Adapting Large Language Models for Few-Shot Multilingual
  NLU: Are We There Yet?
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?
E. Razumovskaia
Ivan Vulić
Anna Korhonen
31
6
0
04 Mar 2024
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
36
4
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
Tianhao Liao
Zhe Xu
Ying Shen
LLMAG
LRM
54
57
0
28 Feb 2024
Investigating the Effectiveness of HyperTuning via Gisting
Investigating the Effectiveness of HyperTuning via Gisting
Jason Phang
43
0
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
36
12
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
29
9
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
39
8
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
44
6
0
18 Feb 2024
Aya Model: An Instruction Finetuned Open-Access Multilingual Language
  Model
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
A. Ustun
Viraat Aryabumi
Zheng-Xin Yong
Wei-Yin Ko
Daniel D'souza
...
Shayne Longpre
Niklas Muennighoff
Marzieh Fadaee
Julia Kreutzer
Sara Hooker
ALM
ELM
SyDa
LRM
27
193
0
12 Feb 2024
Aya Dataset: An Open-Access Collection for Multilingual Instruction
  Tuning
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
Shivalika Singh
Freddie Vargus
Daniel D'souza
Börje F. Karlsson
Abinaya Mahendiran
...
Max Bartolo
Julia Kreutzer
A. Ustun
Marzieh Fadaee
Sara Hooker
117
115
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
33
3
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
KELM
ReLM
25
23
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
19
69
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
19
0
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
28
9
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
AAML
DeLMO
19
16
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
Jiliang Tang
Yue Xing
34
12
0
30 Jan 2024
An Information-Theoretic Analysis of In-Context Learning
An Information-Theoretic Analysis of In-Context Learning
Hong Jun Jeon
Jason D. Lee
Qi Lei
Benjamin Van Roy
22
18
0
28 Jan 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe Calibration
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
71
9
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 Safety
Zaibin Zhang
Yongting Zhang
Lijun Li
Hongzhi Gao
Lijun Wang
Huchuan Lu
Feng Zhao
Yu Qiao
Jing Shao
LLMAG
22
29
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
31
55
0
21 Jan 2024
Instructional Fingerprinting of Large Language Models
Instructional Fingerprinting of Large Language Models
Jiashu Xu
Fei Wang
Mingyu Derek Ma
Pang Wei Koh
Chaowei Xiao
Muhao Chen
WaLM
22
29
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
23
6
0
18 Jan 2024
Large Language Models Are Neurosymbolic Reasoners
Large Language Models Are Neurosymbolic Reasoners
Meng Fang
Shilong Deng
Yudi Zhang
Zijing Shi
Ling-Hao Chen
Mykola Pechenizkiy
Jun Wang
LRM
LM&Ro
LLMAG
19
21
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 Models
Zhengxin Zhang
Dan Zhao
Xupeng Miao
Gabriele Oliaro
Qing Li
Yong-jia Jiang
Zhihao Jia
MQ
28
7
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 Improvements
Anton Voronov
Lena Wolf
Max Ryabinin
22
46
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
73
15
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 Learning
Shuai Zhao
Meihuizi Jia
Anh Tuan Luu
Fengjun Pan
Jinming Wen
AAML
29
35
0
11 Jan 2024
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation
Mahdi Nikdan
Soroush Tabesh
Elvir Crnčević
Dan Alistarh
8
27
0
09 Jan 2024
Improving In-context Learning via Bidirectional Alignment
Improving In-context Learning via Bidirectional Alignment
Chengwei Qin
Wenhan Xia
Fangkai Jiao
Chen Chen
Yuchen Hu
Bosheng Ding
Shafiq R. Joty
35
7
0
28 Dec 2023
On Task Performance and Model Calibration with Supervised and
  Self-Ensembled In-Context Learning
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning
Chengzu Li
Han Zhou
Goran Glavavs
Anna Korhonen
Ivan Vulić
19
11
0
21 Dec 2023
A Survey of Reasoning with Foundation Models
A Survey of Reasoning with Foundation Models
Jiankai Sun
Chuanyang Zheng
E. Xie
Zhengying Liu
Ruihang Chu
...
Xipeng Qiu
Yi-Chen Guo
Hui Xiong
Qun Liu
Zhenguo Li
ReLM
LRM
AI4CE
22
76
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
111
1
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
21
4
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
26
131
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 X. Ling
Boyu Wang
Dongsheng Li
AI4CE
10
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
AAML
SILM
21
26
0
07 Dec 2023
Hijacking Context in Large Multi-modal Models
Hijacking Context in Large Multi-modal Models
Joonhyun Jeong
MLLM
39
7
0
07 Dec 2023
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