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OPT: Open Pre-trained Transformer Language Models

OPT: Open Pre-trained Transformer Language Models

2 May 2022
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
Shuohui Chen
Christopher Dewan
Mona T. Diab
Xian Li
Xi Lin
Todor Mihaylov
Myle Ott
Sam Shleifer
Kurt Shuster
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
    VLM
    OSLM
    AI4CE
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Papers citing "OPT: Open Pre-trained Transformer Language Models"

50 / 2,456 papers shown
Title
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
Wenhao Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng Jiang
RALM
AIMat
242
322
0
21 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
152
0
20 Sep 2022
FP8 Formats for Deep Learning
FP8 Formats for Deep Learning
Paulius Micikevicius
Dusan Stosic
N. Burgess
Marius Cornea
Pradeep Dubey
...
Naveen Mellempudi
S. Oberman
Mohammad Shoeybi
Michael Siu
Hao Wu
BDL
VLM
MQ
77
126
0
12 Sep 2022
Open-Domain Dialog Evaluation using Follow-Ups Likelihood
Open-Domain Dialog Evaluation using Follow-Ups Likelihood
Maxime De Bruyn
Ehsan Lotfi
Jeska Buhmann
Walter Daelemans
40
9
0
12 Sep 2022
Analyzing Transformers in Embedding Space
Analyzing Transformers in Embedding Space
Guy Dar
Mor Geva
Ankit Gupta
Jonathan Berant
31
84
0
06 Sep 2022
Diffusion Models: A Comprehensive Survey of Methods and Applications
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang
Zhilong Zhang
Yingxia Shao
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming-Hsuan Yang
DiffM
MedIm
226
1,320
0
02 Sep 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
40
109
0
31 Aug 2022
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
22
12
0
29 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
54
93
0
24 Aug 2022
Learning Better Masking for Better Language Model Pre-training
Learning Better Masking for Better Language Model Pre-training
Dongjie Yang
ZhuoSheng Zhang
Hai Zhao
37
15
0
23 Aug 2022
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model
  Adaptation
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
VLM
CLL
34
41
0
22 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
37
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
60
82
0
02 Aug 2022
Membership Inference Attacks via Adversarial Examples
Membership Inference Attacks via Adversarial Examples
Hamid Jalalzai
Elie Kadoche
Rémi Leluc
Vincent Plassier
AAML
FedML
MIACV
55
7
0
27 Jul 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
31
301
0
17 Jul 2022
Machine Learning Model Sizes and the Parameter Gap
Machine Learning Model Sizes and the Parameter Gap
Pablo Villalobos
J. Sevilla
T. Besiroglu
Lennart Heim
A. Ho
Marius Hobbhahn
ALM
ELM
AI4CE
33
58
0
05 Jul 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Peter Henderson
M. Krass
Lucia Zheng
Neel Guha
Christopher D. Manning
Dan Jurafsky
Daniel E. Ho
AILaw
ELM
141
98
0
01 Jul 2022
Measuring Forgetting of Memorized Training Examples
Measuring Forgetting of Memorized Training Examples
Matthew Jagielski
Om Thakkar
Florian Tramèr
Daphne Ippolito
Katherine Lee
...
Eric Wallace
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Chiyuan Zhang
TDI
77
102
0
30 Jun 2022
Long Range Language Modeling via Gated State Spaces
Long Range Language Modeling via Gated State Spaces
Harsh Mehta
Ankit Gupta
Ashok Cutkosky
Behnam Neyshabur
Mamba
39
232
0
27 Jun 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
202
0
21 Jun 2022
Masked Siamese ConvNets
Masked Siamese ConvNets
L. Jing
Jiachen Zhu
Yann LeCun
SSL
35
34
0
15 Jun 2022
Unveiling Transformers with LEGO: a synthetic reasoning task
Unveiling Transformers with LEGO: a synthetic reasoning task
Yi Zhang
A. Backurs
Sébastien Bubeck
Ronen Eldan
Suriya Gunasekar
Tal Wagner
LRM
36
85
0
09 Jun 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing
  Mechanisms in Sequence Learning
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
Aniket Didolkar
Kshitij Gupta
Anirudh Goyal
Nitesh B. Gundavarapu
Alex Lamb
Nan Rosemary Ke
Yoshua Bengio
AI4CE
123
17
0
30 May 2022
Diffusion-LM Improves Controllable Text Generation
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
173
781
0
27 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
71
207
0
26 May 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
249
128
0
25 May 2022
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised
  Poetry Generation
PoeLM: A Meter- and Rhyme-Controllable Language Model for Unsupervised Poetry Generation
Aitor Ormazabal
Mikel Artetxe
Manex Agirrezabal
Aitor Soroa Etxabe
Eneko Agirre
29
21
0
24 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
331
4,077
0
24 May 2022
On the Role of Bidirectionality in Language Model Pre-Training
On the Role of Bidirectionality in Language Model Pre-Training
Mikel Artetxe
Jingfei Du
Naman Goyal
Luke Zettlemoyer
Ves Stoyanov
30
16
0
24 May 2022
What Do Compressed Multilingual Machine Translation Models Forget?
What Do Compressed Multilingual Machine Translation Models Forget?
Alireza Mohammadshahi
Vassilina Nikoulina
Alexandre Berard
Caroline Brun
James Henderson
Laurent Besacier
AI4CE
46
9
0
22 May 2022
Memorization Without Overfitting: Analyzing the Training Dynamics of
  Large Language Models
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala
Aram H. Markosyan
Luke Zettlemoyer
Armen Aghajanyan
TDI
34
187
0
22 May 2022
Visually-Augmented Language Modeling
Visually-Augmented Language Modeling
Weizhi Wang
Li Dong
Hao Cheng
Haoyu Song
Xiaodong Liu
Xifeng Yan
Jianfeng Gao
Furu Wei
VLM
38
18
0
20 May 2022
Clinical Prompt Learning with Frozen Language Models
Clinical Prompt Learning with Frozen Language Models
Niall Taylor
Yi Zhang
Dan W Joyce
A. Nevado-Holgado
Andrey Kormilitzin
VLM
LM&MA
16
31
0
11 May 2022
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud
Zhen Zhang
Shuai Zheng
Yida Wang
Justin Chiu
George Karypis
Trishul Chilimbi
Mu Li
Xin Jin
28
39
0
30 Apr 2022
mGPT: Few-Shot Learners Go Multilingual
mGPT: Few-Shot Learners Go Multilingual
Oleh Shliazhko
Alena Fenogenova
Maria Tikhonova
Vladislav Mikhailov
Anastasia Kozlova
Tatiana Shavrina
53
149
0
15 Apr 2022
Internet-augmented language models through few-shot prompting for
  open-domain question answering
Internet-augmented language models through few-shot prompting for open-domain question answering
Angeliki Lazaridou
E. Gribovskaya
Wojciech Stokowiec
N. Grigorev
KELM
LRM
20
132
0
10 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
405
12,150
0
04 Mar 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye
Jiahui Gao
Qintong Li
Hang Xu
Jiangtao Feng
Zhiyong Wu
Tao Yu
Lingpeng Kong
SyDa
52
212
0
16 Feb 2022
Counterfactual Memorization in Neural Language Models
Counterfactual Memorization in Neural Language Models
Chiyuan Zhang
Daphne Ippolito
Katherine Lee
Matthew Jagielski
Florian Tramèr
Nicholas Carlini
32
129
0
24 Dec 2021
Generating More Pertinent Captions by Leveraging Semantics and Style on
  Multi-Source Datasets
Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets
Marcella Cornia
Lorenzo Baraldi
G. Fiameni
Rita Cucchiara
20
12
0
24 Nov 2021
How much do language models copy from their training data? Evaluating
  linguistic novelty in text generation using RAVEN
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN
R. Thomas McCoy
P. Smolensky
Tal Linzen
Jianfeng Gao
Asli Celikyilmaz
SyDa
25
119
0
18 Nov 2021
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel
  Training
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training
Yongbin Li
Hongxin Liu
Zhengda Bian
Boxiang Wang
Haichen Huang
Fan Cui
Chuan-Qing Wang
Yang You
GNN
30
143
0
28 Oct 2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
221
1,664
0
15 Oct 2021
Internet-Augmented Dialogue Generation
Internet-Augmented Dialogue Generation
M. Komeili
Kurt Shuster
Jason Weston
RALM
244
281
0
15 Jul 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
253
647
0
21 Apr 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
281
1,124
0
18 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
283
3,879
0
18 Apr 2021
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based
  Bias in NLP
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
Timo Schick
Sahana Udupa
Hinrich Schütze
265
374
0
28 Feb 2021
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