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Training language models to follow instructions with human feedback

Training language models to follow instructions with human feedback

4 March 2022
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
Pamela Mishkin
Chong Zhang
Sandhini Agarwal
Katarina Slama
Alex Ray
John Schulman
Jacob Hilton
Fraser Kelton
Luke E. Miller
Maddie Simens
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
    OSLM
    ALM
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Papers citing "Training language models to follow instructions with human feedback"

50 / 7,271 papers shown
Title
The Alignment Problem from a Deep Learning Perspective
The Alignment Problem from a Deep Learning Perspective
Richard Ngo
Lawrence Chan
Sören Mindermann
68
183
0
30 Aug 2022
PEER: A Collaborative Language Model
PEER: A Collaborative Language Model
Timo Schick
Jane Dwivedi-Yu
Zhengbao Jiang
Fabio Petroni
Patrick Lewis
Gautier Izacard
Qingfei You
Christoforos Nalmpantis
Edouard Grave
Sebastian Riedel
ALM
50
93
0
24 Aug 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
234
447
0
23 Aug 2022
Using Large Language Models to Simulate Multiple Humans and Replicate
  Human Subject Studies
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher
RosaI. Arriaga
Adam Tauman Kalai
64
351
0
18 Aug 2022
Pathway to Future Symbiotic Creativity
Pathway to Future Symbiotic Creativity
Yi-Ting Guo
Qi-fei Liu
Jie Chen
Wei Xue
Jie Fu
...
Fernando Rosas
Jeffrey Shaw
Xing Wu
Jiji Zhang
Jianliang Xu
34
0
0
18 Aug 2022
Abstractive Meeting Summarization: A Survey
Abstractive Meeting Summarization: A Survey
Virgile Rennard
Guokan Shang
Julie Hunter
Michalis Vazirgiannis
40
15
0
08 Aug 2022
Learning New Skills after Deployment: Improving open-domain
  internet-driven dialogue with human feedback
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback
Jing Xu
Megan Ung
M. Komeili
Kushal Arora
Y-Lan Boureau
Jason Weston
30
37
0
05 Aug 2022
BlenderBot 3: a deployed conversational agent that continually learns to
  responsibly engage
BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage
Kurt Shuster
Jing Xu
M. Komeili
Da Ju
Eric Michael Smith
...
Naman Goyal
Arthur Szlam
Y-Lan Boureau
Melanie Kambadur
Jason Weston
LM&Ro
KELM
35
235
0
05 Aug 2022
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq
  Model
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
Saleh Soltan
Shankar Ananthakrishnan
Jack G. M. FitzGerald
Rahul Gupta
Wael Hamza
...
Mukund Sridhar
Fabian Triefenbach
Apurv Verma
Gokhan Tur
Premkumar Natarajan
58
82
0
02 Aug 2022
SMART: Sentences as Basic Units for Text Evaluation
SMART: Sentences as Basic Units for Text Evaluation
Reinald Kim Amplayo
Peter J. Liu
Yao-Min Zhao
Shashi Narayan
38
21
0
01 Aug 2022
Few-shot Adaptation Works with UnpredicTable Data
Few-shot Adaptation Works with UnpredicTable Data
Jun Shern Chan
Michael Pieler
Jonathan Jao
Jérémy Scheurer
Ethan Perez
36
5
0
01 Aug 2022
Can large language models reason about medical questions?
Can large language models reason about medical questions?
Valentin Liévin
C. Hother
Andreas Geert Motzfeldt
Ole Winther
ELM
LM&MA
AI4MH
LRM
29
300
0
17 Jul 2022
Language models show human-like content effects on reasoning tasks
Language models show human-like content effects on reasoning tasks
Ishita Dasgupta
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Hannah R. Sheahan
Antonia Creswell
D. Kumaran
James L. McClelland
Felix Hill
ReLM
LRM
30
181
0
14 Jul 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for
  Uncertainty Categorization
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
Hao Sun
B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
32
4
0
11 Jul 2022
Big Learning
Big Learning
Yulai Cong
Miaoyun Zhao
AI4CE
32
0
0
08 Jul 2022
Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback
Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback
Adhyyan Narang
Omid Sadeghi
Lillian J. Ratliff
Maryam Fazel
J. Bilmes
OffRL
18
1
0
07 Jul 2022
BioTABQA: Instruction Learning for Biomedical Table Question Answering
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo
S. Saxena
Swaroop Mishra
Mihir Parmar
Chitta Baral
LMTD
160
15
0
06 Jul 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep
  Reinforcement Learning
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le
Yue Wang
Akhilesh Deepak Gotmare
Silvio Savarese
Guosheng Lin
SyDa
ALM
135
241
0
05 Jul 2022
Rationale-Augmented Ensembles in Language Models
Rationale-Augmented Ensembles in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Denny Zhou
ReLM
LRM
40
124
0
02 Jul 2022
PlanBench: An Extensible Benchmark for Evaluating Large Language Models
  on Planning and Reasoning about Change
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Karthik Valmeekam
Matthew Marquez
Alberto Olmo
S. Sreedharan
Subbarao Kambhampati
ReLM
LRM
30
201
0
21 Jun 2022
Interactive Visual Reasoning under Uncertainty
Interactive Visual Reasoning under Uncertainty
Manjie Xu
Guangyuan Jiang
Wei Liang
Song-Chun Zhu
Yixin Zhu
LRM
47
5
0
18 Jun 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
90
2,364
0
15 Jun 2022
Language Models are General-Purpose Interfaces
Language Models are General-Purpose Interfaces
Y. Hao
Haoyu Song
Li Dong
Shaohan Huang
Zewen Chi
Wenhui Wang
Shuming Ma
Furu Wei
MLLM
35
96
0
13 Jun 2022
X-Risk Analysis for AI Research
X-Risk Analysis for AI Research
Dan Hendrycks
Mantas Mazeika
38
68
0
13 Jun 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
144
103
0
05 Jun 2022
On Reinforcement Learning and Distribution Matching for Fine-Tuning
  Language Models with no Catastrophic Forgetting
On Reinforcement Learning and Distribution Matching for Fine-Tuning Language Models with no Catastrophic Forgetting
Tomasz Korbak
Hady ElSahar
Germán Kruszewski
Marc Dymetman
CLL
25
51
0
01 Jun 2022
Leveraging Pre-Trained Language Models to Streamline Natural Language
  Interaction for Self-Tracking
Leveraging Pre-Trained Language Models to Streamline Natural Language Interaction for Self-Tracking
Young-Ho Kim
Sungdong Kim
Minsuk Chang
Sang-Woo Lee
52
4
0
31 May 2022
Can Foundation Models Help Us Achieve Perfect Secrecy?
Can Foundation Models Help Us Achieve Perfect Secrecy?
Simran Arora
Christopher Ré
FedML
24
6
0
27 May 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
68
206
0
26 May 2022
Ground-Truth Labels Matter: A Deeper Look into Input-Label
  Demonstrations
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
Kang Min Yoo
Junyeob Kim
Hyuhng Joon Kim
Hyunsoo Cho
Hwiyeol Jo
Sang-Woo Lee
Sang-goo Lee
Taeuk Kim
31
123
0
25 May 2022
InstructDial: Improving Zero and Few-shot Generalization in Dialogue
  through Instruction Tuning
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Prakhar Gupta
Cathy Jiao
Yi-Ting Yeh
Shikib Mehri
M. Eskénazi
Jeffrey P. Bigham
ALM
44
47
0
25 May 2022
QAMPARI: An Open-domain Question Answering Benchmark for Questions with
  Many Answers from Multiple Paragraphs
QAMPARI: An Open-domain Question Answering Benchmark for Questions with Many Answers from Multiple Paragraphs
S. Amouyal
Tomer Wolfson
Ohad Rubin
Ori Yoran
Jonathan Herzig
Jonathan Berant
RALM
VLM
33
21
0
25 May 2022
Is a Question Decomposition Unit All We Need?
Is a Question Decomposition Unit All We Need?
Pruthvi H. Patel
Swaroop Mishra
Mihir Parmar
Chitta Baral
ReLM
158
51
0
25 May 2022
Non-Programmers Can Label Programs Indirectly via Active Examples: A
  Case Study with Text-to-SQL
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
Ruiqi Zhong
Charles Burton Snell
Dan Klein
Jason Eisner
24
8
0
25 May 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
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking Models
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
24
68
0
19 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
95
793
0
12 May 2022
UL2: Unifying Language Learning Paradigms
UL2: Unifying Language Learning Paradigms
Yi Tay
Mostafa Dehghani
Vinh Q. Tran
Xavier Garcia
Jason W. Wei
...
Tal Schuster
H. Zheng
Denny Zhou
N. Houlsby
Donald Metzler
AI4CE
71
298
0
10 May 2022
Language Models in the Loop: Incorporating Prompting into Weak
  Supervision
Language Models in the Loop: Incorporating Prompting into Weak Supervision
Ryan Smith
Jason Alan Fries
Braden Hancock
Stephen H. Bach
53
53
0
04 May 2022
Improving In-Context Few-Shot Learning via Self-Supervised Training
Improving In-Context Few-Shot Learning via Self-Supervised Training
Mingda Chen
Jingfei Du
Ramakanth Pasunuru
Todor Mihaylov
Srini Iyer
Ves Stoyanov
Zornitsa Kozareva
SSL
AI4MH
40
64
0
03 May 2022
Adversarial Training for High-Stakes Reliability
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
38
59
0
03 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
97
3,522
0
02 May 2022
Training Language Models with Language Feedback
Training Language Models with Language Feedback
Jérémy Scheurer
Jon Ander Campos
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
48
48
0
29 Apr 2022
Unsupervised Cross-Task Generalization via Retrieval Augmentation
Unsupervised Cross-Task Generalization via Retrieval Augmentation
Bill Yuchen Lin
Kangmin Tan
Chris Miller
Beiwen Tian
Xiang Ren
LRM
RALM
32
48
0
17 Apr 2022
Super-NaturalInstructions: Generalization via Declarative Instructions
  on 1600+ NLP Tasks
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang
Swaroop Mishra
Pegah Alipoormolabashi
Yeganeh Kordi
Amirreza Mirzaei
...
Chitta Baral
Yejin Choi
Noah A. Smith
Hannaneh Hajishirzi
Daniel Khashabi
ELM
64
791
0
16 Apr 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black
Stella Biderman
Eric Hallahan
Quentin G. Anthony
Leo Gao
...
Shivanshu Purohit
Laria Reynolds
J. Tow
Benqi Wang
Samuel Weinbach
102
803
0
14 Apr 2022
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
41
629
0
12 Apr 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning
  from Human Feedback
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Yuntao Bai
Andy Jones
Kamal Ndousse
Amanda Askell
Anna Chen
...
Jack Clark
Sam McCandlish
C. Olah
Benjamin Mann
Jared Kaplan
95
2,352
0
12 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRM
ReLM
61
286
0
05 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILM
LRM
136
6,035
0
05 Apr 2022
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