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Emergent Abilities of Large Language Models

Emergent Abilities of Large Language Models

15 June 2022
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
Sebastian Borgeaud
Dani Yogatama
Maarten Bosma
Denny Zhou
Donald Metzler
Ed H. Chi
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
    ELM
    ReLM
    LRM
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Papers citing "Emergent Abilities of Large Language Models"

50 / 1,576 papers shown
Title
Understanding the Effectiveness of Very Large Language Models on Dialog
  Evaluation
Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation
Jessica Huynh
Cathy Jiao
Prakhar Gupta
Shikib Mehri
Payal Bajaj
Vishrav Chaudhary
M. Eskénazi
ELM
LM&MA
31
16
0
27 Jan 2023
Projected Subnetworks Scale Adaptation
Projected Subnetworks Scale Adaptation
Siddhartha Datta
N. Shadbolt
VLM
CLL
28
0
0
27 Jan 2023
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual
  Conditional Generation with Interaction
Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
Jonathan Pilault
Xavier Garcia
Arthur Bravzinskas
Orhan Firat
AI4CE
LRM
19
17
0
24 Jan 2023
Prompting Large Language Model for Machine Translation: A Case Study
Prompting Large Language Model for Machine Translation: A Case Study
Biao Zhang
Barry Haddow
Alexandra Birch
LRM
27
275
0
17 Jan 2023
Dissociating language and thought in large language models
Dissociating language and thought in large language models
Kyle Mahowald
Anna A. Ivanova
I. Blank
Nancy Kanwisher
J. Tenenbaum
Evelina Fedorenko
ELM
ReLM
29
209
0
16 Jan 2023
Progress measures for grokking via mechanistic interpretability
Progress measures for grokking via mechanistic interpretability
Neel Nanda
Lawrence Chan
Tom Lieberum
Jess Smith
Jacob Steinhardt
49
383
0
12 Jan 2023
Can Large Language Models Change User Preference Adversarially?
Can Large Language Models Change User Preference Adversarially?
Varshini Subhash
AAML
40
8
0
05 Jan 2023
How would Stance Detection Techniques Evolve after the Launch of
  ChatGPT?
How would Stance Detection Techniques Evolve after the Launch of ChatGPT?
Bowen Zhang
Daijun Ding
Liwen Jing
36
106
0
30 Dec 2022
Large Language Models Encode Clinical Knowledge
Large Language Models Encode Clinical Knowledge
K. Singhal
Shekoofeh Azizi
T. Tu
S. S. Mahdavi
Jason W. Wei
...
A. Rajkomar
Joelle Barral
Christopher Semturs
Alan Karthikesalingam
Vivek Natarajan
LM&MA
ELM
AI4MH
48
2,185
0
26 Dec 2022
What do LLMs Know about Financial Markets? A Case Study on Reddit Market
  Sentiment Analysis
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
Xiang Deng
Vasilisa Bashlovkina
Feng Han
Simon Baumgartner
Michael Bendersky
47
42
0
21 Dec 2022
Crowd Score: A Method for the Evaluation of Jokes using Large Language
  Model AI Voters as Judges
Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
Fabrício Góes
Zisen Zhou
Piotr Sawicki
M. Grzes
Daniel Brown
19
9
0
21 Dec 2022
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language
  Models
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Jiaxian Guo
Junnan Li
Dongxu Li
A. M. H. Tiong
Boyang Albert Li
Dacheng Tao
Steven C. H. Hoi
VLM
MLLM
32
107
0
21 Dec 2022
JASMINE: Arabic GPT Models for Few-Shot Learning
JASMINE: Arabic GPT Models for Few-Shot Learning
El Moatez Billah Nagoudi
Muhammad Abdul-Mageed
AbdelRahim Elmadany
Alcides Alcoba Inciarte
Md. Tawkat Islam Khondaker
33
7
0
21 Dec 2022
Evaluation for Change
Evaluation for Change
Rishi Bommasani
ELM
40
0
0
20 Dec 2022
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning
  and Generation with Large Language Models
Little Red Riding Hood Goes Around the Globe:Crosslingual Story Planning and Generation with Large Language Models
E. Razumovskaia
Joshua Maynez
Annie Louis
Mirella Lapata
Shashi Narayan
LRM
22
5
0
20 Dec 2022
Towards Reasoning in Large Language Models: A Survey
Towards Reasoning in Large Language Models: A Survey
Jie Huang
Kevin Chen-Chuan Chang
LM&MA
ELM
LRM
29
586
0
20 Dec 2022
Data Curation Alone Can Stabilize In-context Learning
Data Curation Alone Can Stabilize In-context Learning
Ting-Yun Chang
Robin Jia
27
51
0
20 Dec 2022
Self-Adaptive In-Context Learning: An Information Compression
  Perspective for In-Context Example Selection and Ordering
Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering
Zhiyong Wu
Yaoxiang Wang
Jiacheng Ye
Lingpeng Kong
41
119
0
20 Dec 2022
Large Language Models Are Reasoning Teachers
Large Language Models Are Reasoning Teachers
Namgyu Ho
Laura Schmid
Se-Young Yun
ReLM
ELM
LRM
37
317
0
20 Dec 2022
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
KNIFE: Distilling Reasoning Knowledge From Free-Text Rationales
Aaron Chan
Zhiyuan Zeng
Wyatt Lake
Brihi Joshi
Hanjie Chen
Xiang Ren
ReLM
LRM
37
1
0
19 Dec 2022
Reasoning with Language Model Prompting: A Survey
Reasoning with Language Model Prompting: A Survey
Shuofei Qiao
Yixin Ou
Ningyu Zhang
Xiang Chen
Yunzhi Yao
Shumin Deng
Chuanqi Tan
Fei Huang
Huajun Chen
ReLM
ELM
LRM
71
311
0
19 Dec 2022
Emergent Analogical Reasoning in Large Language Models
Emergent Analogical Reasoning in Large Language Models
Taylor Webb
K. Holyoak
Hongjing Lu
ReLM
ELM
LRM
AI4CE
38
291
0
19 Dec 2022
Rethinking the Role of Scale for In-Context Learning: An
  Interpretability-based Case Study at 66 Billion Scale
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Hritik Bansal
Karthik Gopalakrishnan
Saket Dingliwal
S. Bodapati
Katrin Kirchhoff
Dan Roth
LRM
30
48
0
18 Dec 2022
Efficient Self-supervised Learning with Contextualized Target
  Representations for Vision, Speech and Language
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Alexei Baevski
Arun Babu
Wei-Ning Hsu
Michael Auli
VLM
SSL
32
92
0
14 Dec 2022
Despite "super-human" performance, current LLMs are unsuited for
  decisions about ethics and safety
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety
Joshua Albrecht
Ellie Kitanidis
Abraham J. Fetterman
ELM
ReLM
ALM
LRM
27
17
0
13 Dec 2022
Thinking Fast and Slow in Large Language Models
Thinking Fast and Slow in Large Language Models
Thilo Hagendorff
Sarah Fabi
Michal Kosinski
LLMAG
LRM
12
137
0
10 Dec 2022
Harnessing Knowledge and Reasoning for Human-Like Natural Language
  Generation: A Brief Review
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review
Jiangjie Chen
Yanghua Xiao
44
4
0
07 Dec 2022
Talking About Large Language Models
Talking About Large Language Models
Murray Shanahan
AI4CE
23
242
0
07 Dec 2022
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
Mazda Moayeri
Wenxiao Wang
Sahil Singla
S. Feizi
69
14
0
05 Dec 2022
Distilling Reasoning Capabilities into Smaller Language Models
Distilling Reasoning Capabilities into Smaller Language Models
Kumar Shridhar
Alessandro Stolfo
Mrinmaya Sachan
LRM
ReLM
25
158
0
01 Dec 2022
Explicit Knowledge Transfer for Weakly-Supervised Code Generation
Explicit Knowledge Transfer for Weakly-Supervised Code Generation
Zhangir Azerbayev
Ansong Ni
Hailey Schoelkopf
Dragomir R. Radev
26
4
0
30 Nov 2022
Understanding BLOOM: An empirical study on diverse NLP tasks
Understanding BLOOM: An empirical study on diverse NLP tasks
Parag Dakle
Sai Krishna Rallabandi
Preethi Raghavan
AI4CE
39
3
0
27 Nov 2022
GPT-3-driven pedagogical agents for training children's curious
  question-asking skills
GPT-3-driven pedagogical agents for training children's curious question-asking skills
Rania Abdelghani
Yen-Hsiang Wang
Xingdi Yuan
Tong Wang
Pauline Lucas
Hélene Sauzéon
Pierre-Yves Oudeyer
42
100
0
25 Nov 2022
TorchScale: Transformers at Scale
TorchScale: Transformers at Scale
Shuming Ma
Hongyu Wang
Shaohan Huang
Wenhui Wang
Zewen Chi
...
Alon Benhaim
Barun Patra
Vishrav Chaudhary
Xia Song
Furu Wei
AI4CE
22
10
0
23 Nov 2022
Deanthropomorphising NLP: Can a Language Model Be Conscious?
Deanthropomorphising NLP: Can a Language Model Be Conscious?
Matthew Shardlow
Piotr Przybyła
29
5
0
21 Nov 2022
Interpretable Scientific Discovery with Symbolic Regression: A Review
Interpretable Scientific Discovery with Symbolic Regression: A Review
N. Makke
S. Chawla
38
93
0
20 Nov 2022
Efficient Transformers with Dynamic Token Pooling
Efficient Transformers with Dynamic Token Pooling
Piotr Nawrot
J. Chorowski
Adrian Lañcucki
E. Ponti
20
42
0
17 Nov 2022
Teaching Algorithmic Reasoning via In-context Learning
Teaching Algorithmic Reasoning via In-context Learning
Hattie Zhou
Azade Nova
Hugo Larochelle
Rameswar Panda
Behnam Neyshabur
Hanie Sedghi
LRM
ReLM
35
108
0
15 Nov 2022
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa
Ryota Kanai
ELM
LRM
28
4
0
14 Nov 2022
EVA: Exploring the Limits of Masked Visual Representation Learning at
  Scale
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
Yuxin Fang
Wen Wang
Binhui Xie
Quan-Sen Sun
Ledell Yu Wu
Xinggang Wang
Tiejun Huang
Xinlong Wang
Yue Cao
VLM
CLIP
87
679
0
14 Nov 2022
A Survey of Knowledge Enhanced Pre-trained Language Models
A Survey of Knowledge Enhanced Pre-trained Language Models
Linmei Hu
Zeyi Liu
Ziwang Zhao
Lei Hou
Liqiang Nie
Juanzi Li
KELM
VLM
24
123
0
11 Nov 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BigScience Workshop
:
Teven Le Scao
Angela Fan
Christopher Akiki
...
Zhongli Xie
Zifan Ye
M. Bras
Younes Belkada
Thomas Wolf
VLM
118
2,315
0
09 Nov 2022
Active Example Selection for In-Context Learning
Active Example Selection for In-Context Learning
Yiming Zhang
Shi Feng
Chenhao Tan
SILM
LRM
32
187
0
08 Nov 2022
Astronomia ex machina: a history, primer, and outlook on neural networks
  in astronomy
Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy
Michael J. Smith
James E. Geach
35
32
0
07 Nov 2022
Inverse scaling can become U-shaped
Inverse scaling can become U-shaped
Jason W. Wei
Najoung Kim
Yi Tay
Quoc V. Le
LRM
29
60
0
03 Nov 2022
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALM
LLMAG
21
834
0
03 Nov 2022
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales
Peifeng Wang
Aaron Chan
Filip Ilievski
Muhao Chen
Xiang Ren
LRM
ReLM
21
59
0
03 Nov 2022
Towards Better Out-of-Distribution Generalization of Neural Algorithmic
  Reasoning Tasks
Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks
Sadegh Mahdavi
Kevin Swersky
Thomas Kipf
Milad Hashemi
Christos Thrampoulidis
Renjie Liao
LRM
OOD
NAI
49
25
0
01 Nov 2022
Interpretability in the Wild: a Circuit for Indirect Object
  Identification in GPT-2 small
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small
Kevin Wang
Alexandre Variengien
Arthur Conmy
Buck Shlegeris
Jacob Steinhardt
212
497
0
01 Nov 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language
  Inference with T5
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Aline Villavicencio
Iryna Gurevych
LRM
53
5
0
31 Oct 2022
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