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PaLM: Scaling Language Modeling with Pathways

PaLM: Scaling Language Modeling with Pathways

5 April 2022
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
Adam Roberts
P. Barham
Hyung Won Chung
Charles Sutton
Sebastian Gehrmann
Parker Schuh
Kensen Shi
Sasha Tsvyashchenko
Joshua Maynez
Abhishek Rao
Parker Barnes
Yi Tay
Noam M. Shazeer
Vinodkumar Prabhakaran
Emily Reif
Nan Du
Ben Hutchinson
Reiner Pope
James Bradbury
Jacob Austin
Michael Isard
Guy Gur-Ari
Pengcheng Yin
Toju Duke
Anselm Levskaya
Sanjay Ghemawat
Sunipa Dev
Henryk Michalewski
Xavier Garcia
Vedant Misra
Kevin Robinson
Liam Fedus
Denny Zhou
Daphne Ippolito
D. Luan
Hyeontaek Lim
Barret Zoph
A. Spiridonov
Ryan Sepassi
David Dohan
Shivani Agrawal
Mark Omernick
Andrew M. Dai
Thanumalayan Sankaranarayana Pillai
Marie Pellat
Aitor Lewkowycz
Erica Moreira
R. Child
Oleksandr Polozov
Katherine Lee
Zongwei Zhou
Xuezhi Wang
Brennan Saeta
Mark Díaz
Orhan Firat
Michele Catasta
Jason W. Wei
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
    PILM
    LRM
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Papers citing "PaLM: Scaling Language Modeling with Pathways"

50 / 758 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
31
180
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
32
92
0
24 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
21
337
0
18 Aug 2022
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural
  Code Generation
MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation
Federico Cassano
John Gouwar
Daniel Nguyen
S. Nguyen
Luna Phipps-Costin
...
Carolyn Jane Anderson
Molly Q. Feldman
Arjun Guha
Michael Greenberg
Abhinav Jangda
ELM
22
80
0
17 Aug 2022
Interactive Code Generation via Test-Driven User-Intent Formalization
Interactive Code Generation via Test-Driven User-Intent Formalization
Shuvendu K. Lahiri
Sarah Fakhoury
Aaditya Naik
Georgios Sakkas
Saikat Chakraborty
...
Piali Choudhury
Curtis von Veh
J. Inala
Chenglong Wang
Jianfeng Gao
11
63
0
11 Aug 2022
Quality Not Quantity: On the Interaction between Dataset Design and
  Robustness of CLIP
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
Thao Nguyen
Gabriel Ilharco
Mitchell Wortsman
Sewoong Oh
Ludwig Schmidt
CLIP
VLM
27
97
0
10 Aug 2022
Limitations of Language Models in Arithmetic and Symbolic Induction
Limitations of Language Models in Arithmetic and Symbolic Induction
Jingu Qian
Hong Wang
Zekun Li
Shiyang Li
Xifeng Yan
ReLM
LRM
29
72
0
09 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
Gökhan Tür
Premkumar Natarajan
34
82
0
02 Aug 2022
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
PanGu-Coder: Program Synthesis with Function-Level Language Modeling
Fenia Christopoulou
Gerasimos Lampouras
Milan Gritta
Guchun Zhang
Yinpeng Guo
...
Guangtai Liang
Jia Wei
Xin Jiang
Qianxiang Wang
Qun Liu
ELM
SyDa
ALM
21
74
0
22 Jul 2022
Scaling Laws vs Model Architectures: How does Inductive Bias Influence
  Scaling?
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
Yi Tay
Mostafa Dehghani
Samira Abnar
Hyung Won Chung
W. Fedus
J. Rao
Sharan Narang
Vinh Q. Tran
Dani Yogatama
Donald Metzler
AI4CE
22
100
0
21 Jul 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the
  Computational Limit
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak
Benjamin L. Edelman
Surbhi Goel
Sham Kakade
Eran Malach
Cyril Zhang
25
122
0
18 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
18
55
0
05 Jul 2022
e-CLIP: Large-Scale Vision-Language Representation Learning in
  E-commerce
e-CLIP: Large-Scale Vision-Language Representation Learning in E-commerce
Wonyoung Shin
Jonghun Park
Taekang Woo
Yongwoo Cho
Kwangjin Oh
Hwanjun Song
VLM
14
16
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
29
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
26
229
0
27 Jun 2022
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
79
1,061
0
22 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
11
197
0
21 Jun 2022
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Jiasen Lu
Christopher Clark
Rowan Zellers
Roozbeh Mottaghi
Aniruddha Kembhavi
ObjD
VLM
MLLM
45
391
0
17 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
39
343
0
17 Jun 2022
Towards Understanding How Machines Can Learn Causal Overhypotheses
Towards Understanding How Machines Can Learn Causal Overhypotheses
Eliza Kosoy
David M. Chan
Adrian Liu
Jasmine Collins
Bryanna Kaufmann
Sandy Han Huang
Jessica B. Hamrick
John F. Canny
Nan Rosemary Ke
Alison Gopnik
CML
AI4CE
10
17
0
16 Jun 2022
On Privacy and Personalization in Cross-Silo Federated Learning
On Privacy and Personalization in Cross-Silo Federated Learning
Ziyu Liu
Shengyuan Hu
Zhiwei Steven Wu
Virginia Smith
FedML
20
51
0
16 Jun 2022
Efficiently Training Low-Curvature Neural Networks
Efficiently Training Low-Curvature Neural Networks
Suraj Srinivas
Kyle Matoba
Himabindu Lakkaraju
F. Fleuret
AAML
18
15
0
14 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and
  Not Yet Learnt
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt
Sören Mindermann
J. Brauner
Muhammed Razzak
Mrinank Sharma
Andreas Kirsch
...
Benedikt Höltgen
Aidan N. Gomez
Adrien Morisot
Sebastian Farquhar
Y. Gal
25
148
0
14 Jun 2022
Neural Collapse: A Review on Modelling Principles and Generalization
Neural Collapse: A Review on Modelling Principles and Generalization
Vignesh Kothapalli
19
69
0
08 Jun 2022
Inception Transformer
Inception Transformer
Chenyang Si
Weihao Yu
Pan Zhou
Yichen Zhou
Xinchao Wang
Shuicheng Yan
ViT
11
186
0
25 May 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures
  of Soft Prompts
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Akari Asai
Mohammadreza Salehi
Matthew E. Peters
Hannaneh Hajishirzi
120
100
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
291
4,048
0
24 May 2022
Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia
William Chan
Saurabh Saxena
Lala Li
Jay Whang
...
Raphael Gontijo-Lopes
Tim Salimans
Jonathan Ho
David J Fleet
Mohammad Norouzi
VLM
55
5,743
0
23 May 2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language
  Models
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou
Nathanael Scharli
Le Hou
Jason W. Wei
Nathan Scales
...
Dale Schuurmans
Claire Cui
Olivier Bousquet
Quoc Le
Ed H. Chi
RALM
LRM
AI4CE
12
1,029
0
21 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
11
68
0
19 May 2022
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of
  Character Roles Without Training Data
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
Dominik Stammbach
Maria Antoniak
Elliott Ash
142
32
0
16 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
40
782
0
12 May 2022
Reducing Activation Recomputation in Large Transformer Models
Reducing Activation Recomputation in Large Transformer Models
V. Korthikanti
Jared Casper
Sangkug Lym
Lawrence C. McAfee
M. Andersch
M. Shoeybi
Bryan Catanzaro
AI4CE
10
252
0
10 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
17
59
0
03 May 2022
Can deep learning match the efficiency of human visual long-term memory
  in storing object details?
Can deep learning match the efficiency of human visual long-term memory in storing object details?
Emin Orhan
VLM
OCL
20
0
0
27 Apr 2022
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
FPGA-based AI Smart NICs for Scalable Distributed AI Training Systems
Rui Ma
E. Georganas
A. Heinecke
Andrew Boutros
Eriko Nurvitadhi
GNN
9
11
0
22 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
22
609
0
12 Apr 2022
Pathways: Asynchronous Distributed Dataflow for ML
Pathways: Asynchronous Distributed Dataflow for ML
P. Barham
Aakanksha Chowdhery
J. Dean
Sanjay Ghemawat
Steven Hand
...
Parker Schuh
Ryan Sepassi
Laurent El Shafey
C. A. Thekkath
Yonghui Wu
GNN
MoE
28
126
0
23 Mar 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
297
3,217
0
21 Mar 2022
Geographic Adaptation of Pretrained Language Models
Geographic Adaptation of Pretrained Language Models
Valentin Hofmann
Goran Glavavs
Nikola Ljubevsić
J. Pierrehumbert
Hinrich Schütze
VLM
21
16
0
16 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
303
11,730
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
315
8,402
0
28 Jan 2022
Reasoning Like Program Executors
Reasoning Like Program Executors
Xinyu Pi
Qian Liu
Bei Chen
Morteza Ziyadi
Zeqi Lin
Qiang Fu
Yan Gao
Jian-Guang Lou
Weizhu Chen
ReLM
LRM
246
52
0
27 Jan 2022
A Survey of Controllable Text Generation using Transformer-based
  Pre-trained Language Models
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models
Hanqing Zhang
Haolin Song
Shaoyu Li
Ming Zhou
Dawei Song
33
213
0
14 Jan 2022
Few-shot Learning with Multilingual Language Models
Few-shot Learning with Multilingual Language Models
Xi Victoria Lin
Todor Mihaylov
Mikel Artetxe
Tianlu Wang
Shuohui Chen
...
Luke Zettlemoyer
Zornitsa Kozareva
Mona T. Diab
Ves Stoyanov
Xian Li
BDL
ELM
LRM
36
283
0
20 Dec 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
205
1,654
0
15 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful
  Information from Humans
A Framework for Learning to Request Rich and Contextually Useful Information from Humans
Khanh Nguyen
Yonatan Bisk
Hal Daumé
28
15
0
14 Oct 2021
Challenges in Detoxifying Language Models
Challenges in Detoxifying Language Models
Johannes Welbl
Amelia Glaese
J. Uesato
Sumanth Dathathri
John F. J. Mellor
Lisa Anne Hendricks
Kirsty Anderson
Pushmeet Kohli
Ben Coppin
Po-Sen Huang
LM&MA
242
193
0
15 Sep 2021
Deduplicating Training Data Makes Language Models Better
Deduplicating Training Data Makes Language Models Better
Katherine Lee
Daphne Ippolito
A. Nystrom
Chiyuan Zhang
Douglas Eck
Chris Callison-Burch
Nicholas Carlini
SyDa
237
588
0
14 Jul 2021
Efficient Deep Learning: A Survey on Making Deep Learning Models
  Smaller, Faster, and Better
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better
Gaurav Menghani
VLM
MedIm
16
359
0
16 Jun 2021
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