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Language Models are Few-Shot Learners

Language Models are Few-Shot Learners

28 May 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
Prafulla Dhariwal
Arvind Neelakantan
Pranav Shyam
Girish Sastry
Amanda Askell
Sandhini Agarwal
Ariel Herbert-Voss
Gretchen Krueger
T. Henighan
R. Child
Aditya A. Ramesh
Daniel M. Ziegler
Jeff Wu
Clemens Winter
Christopher Hesse
Mark Chen
Eric Sigler
Ma-teusz Litwin
Scott Gray
B. Chess
Jack Clark
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
    BDL
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Papers citing "Language Models are Few-Shot Learners"

50 / 1,609 papers shown
Title
LongStory: Coherent, Complete and Length Controlled Long story Generation
LongStory: Coherent, Complete and Length Controlled Long story Generation
Kyeongman Park
Nakyeong Yang
Kyomin Jung
91
5
0
26 Nov 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Shengyin Sun
Yuxiang Ren
Chen Ma
Xuecang Zhang
188
21
0
24 Nov 2023
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Ming Li
Ariunaa Enkhtur
B. Yamamoto
Fei Cheng
Lilan Chen
AI4CE
83
4
0
24 Nov 2023
Hijacking Large Language Models via Adversarial In-Context Learning
Hijacking Large Language Models via Adversarial In-Context Learning
Yao Qiang
Xiangyu Zhou
Saleh Zare Zade
Prashant Khanduri
Dongxiao Zhu
96
35
0
16 Nov 2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
Wenjie Mo
Lyne Tchapmi
Qin Liu
Jiong Wang
Jun Yan
Chaowei Xiao
Muhao Chen
Muhao Chen
AAML
109
20
0
16 Nov 2023
Divergences between Language Models and Human Brains
Divergences between Language Models and Human Brains
Yuchen Zhou
Emmy Liu
Graham Neubig
Michael J. Tarr
Leila Wehbe
83
3
0
15 Nov 2023
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image Retrieval
Junyang Chen
Hanjiang Lai
VLM
78
15
0
13 Nov 2023
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
FigStep: Jailbreaking Large Vision-Language Models via Typographic Visual Prompts
Yichen Gong
Delong Ran
Jinyuan Liu
Conglei Wang
Tianshuo Cong
Anyu Wang
Sisi Duan
Xiaoyun Wang
MLLM
211
150
0
09 Nov 2023
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Hanlin Zhang
Benjamin L. Edelman
Danilo Francati
Daniele Venturi
G. Ateniese
Boaz Barak
WaLM
195
63
0
07 Nov 2023
Uncovering Intermediate Variables in Transformers using Circuit Probing
Uncovering Intermediate Variables in Transformers using Circuit Probing
Michael A. Lepori
Thomas Serre
Ellie Pavlick
118
7
0
07 Nov 2023
LitSumm: Large language models for literature summarisation of non-coding RNAs
LitSumm: Large language models for literature summarisation of non-coding RNAs
Andrew Green
C. Ribas
Nancy Ontiveros-Palacios
Sam Griffiths-Jones
Anton I. Petrov
Alex Bateman
Blake Sweeney
72
4
0
06 Nov 2023
BarcodeBERT: Transformers for Biodiversity Analysis
BarcodeBERT: Transformers for Biodiversity Analysis
Pablo Millán Arias
Niousha Sadjadi
Monireh Safari
ZeMing Gong
Austin T. Wang
...
Iuliia Zarubiieva
Dirk Steinke
Lila Kari
Angel X. Chang
Graham W. Taylor
74
7
0
04 Nov 2023
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction
Nicholas Walker
Stefan Ultes
Pierre Lison
LM&Ro
122
1
0
03 Nov 2023
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning
Yifan Du
Hangyu Guo
Kun Zhou
Wayne Xin Zhao
Jinpeng Wang
Chuyuan Wang
Mingchen Cai
Ruihua Song
Ji-Rong Wen
VLM
MLLM
LRM
128
23
0
02 Nov 2023
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
92
5
0
01 Nov 2023
Advances in Embodied Navigation Using Large Language Models: A Survey
Advances in Embodied Navigation Using Large Language Models: A Survey
Jinzhou Lin
Han Gao
Xuxiang Feng
Rongtao Xu
Changwei Wang
Man Zhang
Li Guo
Shibiao Xu
LM&Ro
LLMAG
129
10
0
01 Nov 2023
A Tractable Inference Perspective of Offline RL
A Tractable Inference Perspective of Offline RL
Xuejie Liu
Hoang Trung-Dung
Guy Van den Broeck
Yitao Liang
OffRL
84
1
0
31 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering
Md Rafi Ur Rashid
Vishnu Asutosh Dasu
Kang Gu
Najrin Sultana
Shagufta Mehnaz
AAML
FedML
101
12
0
24 Oct 2023
AutoMix: Automatically Mixing Language Models
AutoMix: Automatically Mixing Language Models
Pranjal Aggarwal
Aman Madaan
Ankit Anand
Srividya Pranavi Potharaju
Swaroop Mishra
...
Karthik Kappaganthu
Yiming Yang
Shyam Upadhyay
Manaal Faruqui
Mausam
96
24
0
19 Oct 2023
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education
Duc-Vu Nguyen
Quoc-Nam Nguyen
134
6
0
18 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport
Quentin Bouniot
I. Redko
Anton Mallasto
Charlotte Laclau
Karol Arndt
Oliver Struckmeier
Markus Heinonen
Ville Kyrki
Samuel Kaski
131
2
0
17 Oct 2023
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Jirui Qi
Raquel Fernández
Arianna Bisazza
KELM
HILM
100
74
0
16 Oct 2023
Interactive Task Planning with Language Models
Interactive Task Planning with Language Models
Boyi Li
Philipp Wu
Pieter Abbeel
Jitendra Malik
LM&Ro
81
38
0
16 Oct 2023
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Wenqi Jiang
Marco Zeller
R. Waleffe
Torsten Hoefler
Gustavo Alonso
99
15
0
15 Oct 2023
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
Haoyi Zhu
Honghui Yang
Xiaoyang Wu
Di Huang
Sha Zhang
...
Hengshuang Zhao
Chunhua Shen
Yu Qiao
Tong He
Wanli Ouyang
SSL
136
46
0
12 Oct 2023
CoPAL: Corrective Planning of Robot Actions with Large Language Models
CoPAL: Corrective Planning of Robot Actions with Large Language Models
Frank Joublin
Antonello Ceravola
Pavel Smirnov
Felix Ocker
Joerg Deigmoeller
Anna Belardinelli
Chao Wang
Stephan Hasler
Daniel Tanneberg
Michael Gienger
LM&Ro
LLMAG
83
36
0
11 Oct 2023
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
Zhikai Li
Xiaoxuan Liu
Banghua Zhu
Zhen Dong
Qingyi Gu
Kurt Keutzer
MQ
85
7
0
11 Oct 2023
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
ParFam -- (Neural Guided) Symbolic Regression Based on Continuous Global Optimization
Philipp Scholl
Katharina Bieker
Hillary Hauger
Gitta Kutyniok
88
5
0
09 Oct 2023
On the Evolution of Knowledge Graphs: A Survey and Perspective
On the Evolution of Knowledge Graphs: A Survey and Perspective
Xuhui Jiang
Chengjin Xu
Yinghan Shen
Xun Sun
Lumingyuan Tang
Saizhuo Wang
Zhongwu Chen
Yuanzhuo Wang
Jian Guo
113
9
0
07 Oct 2023
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
LLM4DV: Using Large Language Models for Hardware Test Stimuli Generation
Zixi Zhang
Greg Chadwick
Hugo McNally
Yiren Zhao
Robert D. Mullins
Jianyi Cheng
Robert Mullins
Yiren Zhao
84
22
0
06 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology
URLOST: Unsupervised Representation Learning without Stationarity or Topology
Zeyu Yun
Juexiao Zhang
Bruno A. Olshausen
Yann LeCun
172
1
0
06 Oct 2023
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Concise and Organized Perception Facilitates Reasoning in Large Language Models
Junjie Liu
Shaotian Yan
Chen Shen
Zhengdong Xiao
Wenxiao Wang
Jieping Ye
Jieping Ye
LRM
72
1
0
05 Oct 2023
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning
Chang Gao
Wenxuan Zhang
Guizhen Chen
Wai Lam
113
6
0
04 Oct 2023
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation
Chen Dun
Mirian Hipolito Garcia
Guoqing Zheng
Ahmed Hassan Awadallah
Anastasios Kyrillidis
Robert Sim
160
6
0
04 Oct 2023
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation
Benjamin Steenhoek
Michele Tufano
Neel Sundaresan
Alexey Svyatkovskiy
OffRL
ALM
115
20
0
03 Oct 2023
Necessary and Sufficient Watermark for Large Language Models
Necessary and Sufficient Watermark for Large Language Models
Yuki Takezawa
Ryoma Sato
Han Bao
Kenta Niwa
Makoto Yamada
WaLM
82
8
0
02 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
Geri Skenderi
Hang Li
Jiliang Tang
Marco Cristani
AI4TS
GNN
99
5
0
27 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
107
15
0
25 Sep 2023
Baichuan 2: Open Large-scale Language Models
Baichuan 2: Open Large-scale Language Models
Ai Ming Yang
Bin Xiao
Bingning Wang
Borong Zhang
Ce Bian
...
Youxin Jiang
Yuchen Gao
Yupeng Zhang
Guosheng Dong
Zhiying Wu
ELM
LRM
165
745
0
19 Sep 2023
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Life-inspired Interoceptive Artificial Intelligence for Autonomous and Adaptive Agents
Sungwoo Lee
Younghyun Oh
Hyunhoe An
Hyebhin Yoon
K. Friston
Seok Jun Hong
Choong-Wan Woo
AI4CE
98
1
0
12 Sep 2023
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Boshko Koloski
Blaž Škrlj
Marko Robnik-Šikonja
Senja Pollak
CLL
86
2
0
12 Sep 2023
FLM-101B: An Open LLM and How to Train It with $100K Budget
FLM-101B: An Open LLM and How to Train It with 100KBudget100K Budget100KBudget
Xiang Li
Yiqun Yao
Xin Jiang
Xuezhi Fang
Xuying Meng
...
Li Du
Bowen Qin
Zheng Zhang
Aixin Sun
Yequan Wang
98
22
0
07 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
83
15
0
05 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang
Qingwen Bu
Jie M. Zhang
Xiaofei Xie
Junjie Chen
Heming Cui
83
24
0
03 Sep 2023
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Qingyue Wang
Y. Fu
Yanan Cao
Zhiliang Tian
Shi Wang
Dacheng Tao
LLMAG
KELM
RALM
117
27
0
29 Aug 2023
Spoken Language Intelligence of Large Language Models for Language Learning
Spoken Language Intelligence of Large Language Models for Language Learning
Linkai Peng
Baorian Nuchged
Yingming Gao
ELM
91
4
0
28 Aug 2023
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
AI-Generated Content (AIGC) for Various Data Modalities: A Survey
Lin Geng Foo
Hossein Rahmani
Jing Liu
154
31
0
27 Aug 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning
Jiasheng Ye
Zaixiang Zheng
Yu Bao
Lihua Qian
Quanquan Gu
DiffM
130
18
0
23 Aug 2023
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Haipeng Luo
Qingfeng Sun
Can Xu
Pu Zhao
Jian-Guang Lou
...
Xiubo Geng
Qingwei Lin
Shifeng Chen
Yansong Tang
Dongmei Zhang
LRM
OSLM
203
455
0
18 Aug 2023
Semantic Consistency for Assuring Reliability of Large Language Models
Semantic Consistency for Assuring Reliability of Large Language Models
Harsh Raj
Vipul Gupta
Domenic Rosati
S. Majumdar
HILM
132
14
0
17 Aug 2023
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