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Larger language models do in-context learning differently

Larger language models do in-context learning differently

7 March 2023
Jerry W. Wei
Jason W. Wei
Yi Tay
Dustin Tran
Albert Webson
Yifeng Lu
Xinyun Chen
Hanxiao Liu
Da Huang
Denny Zhou
Tengyu Ma
    ReLM
    LRM
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Papers citing "Larger language models do in-context learning differently"

30 / 280 papers shown
Title
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable
  Language Style Understanding
Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
Ruohao Guo
Wei-ping Xu
Alan Ritter
21
2
0
24 May 2023
Active Learning Principles for In-Context Learning with Large Language
  Models
Active Learning Principles for In-Context Learning with Large Language Models
Katerina Margatina
Timo Schick
Nikolaos Aletras
Jane Dwivedi-Yu
30
39
0
23 May 2023
Label Words are Anchors: An Information Flow Perspective for
  Understanding In-Context Learning
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
Lean Wang
Lei Li
Damai Dai
Deli Chen
Hao Zhou
Fandong Meng
Jie Zhou
Xu Sun
33
170
0
23 May 2023
Concept-aware Training Improves In-context Learning Ability of Language
  Models
Concept-aware Training Improves In-context Learning Ability of Language Models
Michal Štefánik
Marek Kadlcík
KELM
LRM
35
0
0
23 May 2023
Open-world Semi-supervised Generalized Relation Discovery Aligned in a
  Real-world Setting
Open-world Semi-supervised Generalized Relation Discovery Aligned in a Real-world Setting
William Hogan
Jiacheng Li
Jingbo Shang
OffRL
27
1
0
22 May 2023
Measuring Inductive Biases of In-Context Learning with Underspecified
  Demonstrations
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si
Dan Friedman
Nitish Joshi
Shi Feng
Danqi Chen
He He
13
42
0
22 May 2023
Enhance Reasoning Ability of Visual-Language Models via Large Language
  Models
Enhance Reasoning Ability of Visual-Language Models via Large Language Models
Yueting Yang
Xintong Zhang
Wenjuan Han
VLM
ReLM
LRM
28
1
0
22 May 2023
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities
  and Future Opportunities
LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities
Yuqi Zhu
Xiaohan Wang
Jing Chen
Shuofei Qiao
Yixin Ou
Yunzhi Yao
Shumin Deng
Huajun Chen
Ningyu Zhang
LLMAG
41
110
0
22 May 2023
Explaining Emergent In-Context Learning as Kernel Regression
Explaining Emergent In-Context Learning as Kernel Regression
Chi Han
Ziqi Wang
Haiying Zhao
Heng Ji
LRM
32
11
0
22 May 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context
  Learning
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee
Kian Ahrabian
Woojeong Jin
Fred Morstatter
Jay Pujara
30
31
0
17 May 2023
What In-Context Learning "Learns" In-Context: Disentangling Task
  Recognition and Task Learning
What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning
Jane Pan
Tianyu Gao
Howard Chen
Danqi Chen
28
108
0
16 May 2023
Symbol tuning improves in-context learning in language models
Symbol tuning improves in-context learning in language models
Jerry W. Wei
Le Hou
Andrew Kyle Lampinen
Xiangning Chen
Da Huang
...
Xinyun Chen
Yifeng Lu
Denny Zhou
Tengyu Ma
Quoc V. Le
LRM
28
73
0
15 May 2023
Appropriateness is all you need!
Appropriateness is all you need!
Hendrik Kempt
A. Lavie
S. Nagel
28
1
0
27 Apr 2023
Divide and Prompt: Chain of Thought Prompting for Text-to-SQL
Divide and Prompt: Chain of Thought Prompting for Text-to-SQL
X. Liu
Zhao Tan
ReLM
LRM
34
14
0
23 Apr 2023
Spatial-Language Attention Policies for Efficient Robot Learning
Spatial-Language Attention Policies for Efficient Robot Learning
Priyam Parashar
Vidhi Jain
Xiaohan Zhang
Jay Vakil
Sam Powers
Yonatan Bisk
Chris Paxton
LM&Ro
42
5
0
21 Apr 2023
A Survey for Biomedical Text Summarization: From Pre-trained to Large
  Language Models
A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models
Qianqian Xie
Zheheng Luo
Benyou Wang
Sophia Ananiadou
LM&MA
VLM
28
8
0
18 Apr 2023
Multilingual Machine Translation with Large Language Models: Empirical
  Results and Analysis
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
Wenhao Zhu
Hongyi Liu
Qingxiu Dong
Jingjing Xu
Shujian Huang
Lingpeng Kong
Jiajun Chen
Lei Li
LRM
29
140
0
10 Apr 2023
A Theory of Emergent In-Context Learning as Implicit Structure Induction
A Theory of Emergent In-Context Learning as Implicit Structure Induction
Michael Hahn
Navin Goyal
LRM
8
74
0
14 Mar 2023
The Learnability of In-Context Learning
The Learnability of In-Context Learning
Noam Wies
Yoav Levine
Amnon Shashua
122
91
0
14 Mar 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
462
0
31 Dec 2022
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of
  What Matters
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang
Sewon Min
Xiang Deng
Jiaming Shen
You Wu
Luke Zettlemoyer
Huan Sun
LRM
ReLM
34
224
0
20 Dec 2022
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
Michal Tefnik
Marek Kadlcík
LRM
13
5
0
03 Dec 2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Aman Madaan
Amir Yazdanbakhsh
LRM
151
116
0
16 Sep 2022
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
59
183
0
30 Aug 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLM
BDL
LRM
AI4CE
314
3,248
0
21 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
319
11,953
0
04 Mar 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
389
8,495
0
28 Jan 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
297
6,959
0
20 Apr 2018
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
255
13,364
0
25 Aug 2014
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