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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 / 4,245 papers shown
Title
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical
  Gradient Analysis
GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis
Yueqi Xie
Minghong Fang
Renjie Pi
Neil Zhenqiang Gong
57
25
0
21 Feb 2024
Healthcare Copilot: Eliciting the Power of General LLMs for Medical
  Consultation
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation
Zhiyao Ren
Yibing Zhan
Baosheng Yu
Liang Ding
Dacheng Tao
LM&MA
36
13
0
20 Feb 2024
Transformer tricks: Precomputing the first layer
Transformer tricks: Precomputing the first layer
Nils Graef
MoE
32
4
0
20 Feb 2024
ChatEL: Entity Linking with Chatbots
ChatEL: Entity Linking with Chatbots
Yifan Ding
Qingkai Zeng
Tim Weninger
KELM
40
5
0
20 Feb 2024
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
Arka Pal
Deep Karkhanis
Samuel Dooley
Manley Roberts
Siddartha Naidu
Colin White
OSLM
46
129
0
20 Feb 2024
RoCode: A Dataset for Measuring Code Intelligence from Problem
  Definitions in Romanian
RoCode: A Dataset for Measuring Code Intelligence from Problem Definitions in Romanian
Adrian Cosma
Ioan-Bogdan Iordache
Paolo Rosso
OffRL
41
2
0
20 Feb 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial
  Problems
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
Zhiyuan Li
Hong Liu
Denny Zhou
Tengyu Ma
LRM
AI4CE
30
101
0
20 Feb 2024
Instruction-tuned Language Models are Better Knowledge Learners
Instruction-tuned Language Models are Better Knowledge Learners
Zhengbao Jiang
Zhiqing Sun
Weijia Shi
Pedro Rodriguez
Chunting Zhou
Graham Neubig
Xi Lin
Wen-tau Yih
Srinivasan Iyer
KELM
46
34
0
20 Feb 2024
Chain-of-Specificity: An Iteratively Refining Method for Eliciting
  Knowledge from Large Language Models
Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
Kaiwen Wei
Jingyuan Zhang
Hongzhi Zhang
Fuzheng Zhang
Di Zhang
Li Jin
Yue Yu
33
0
0
20 Feb 2024
SoftQE: Learned Representations of Queries Expanded by LLMs
SoftQE: Learned Representations of Queries Expanded by LLMs
Varad Pimpalkhute
John Heyer
Xusen Yin
Sameer Gupta
RALM
34
1
0
20 Feb 2024
Generative AI Security: Challenges and Countermeasures
Generative AI Security: Challenges and Countermeasures
Banghua Zhu
Norman Mu
Jiantao Jiao
David Wagner
AAML
SILM
66
8
0
20 Feb 2024
The Revolution of Multimodal Large Language Models: A Survey
The Revolution of Multimodal Large Language Models: A Survey
Davide Caffagni
Federico Cocchi
Luca Barsellotti
Nicholas Moratelli
Sara Sarto
Lorenzo Baraldi
Lorenzo Baraldi
Marcella Cornia
Rita Cucchiara
LRM
VLM
66
43
0
19 Feb 2024
Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding
Zhuoming Chen
Avner May
Ruslan Svirschevski
Yuhsun Huang
Max Ryabinin
Zhihao Jia
Beidi Chen
53
41
0
19 Feb 2024
A synthetic data approach for domain generalization of NLI models
A synthetic data approach for domain generalization of NLI models
Mohammad Javad Hosseini
Andrey Petrov
Alex Fabrikant
Annie Louis
SyDa
40
8
0
19 Feb 2024
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and
  Scalability
Pushing Auto-regressive Models for 3D Shape Generation at Capacity and Scalability
Xue-Qing Qian
Yu Wang
Simian Luo
Yinda Zhang
Ying Tai
...
Xiangyang Xue
Bo Zhao
Tiejun Huang
Yunsheng Wu
Yanwei Fu
38
6
0
19 Feb 2024
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
Mafin: Enhancing Black-Box Embeddings with Model Augmented Fine-Tuning
Mingtian Zhang
Shawn Lan
Peter Hayes
David Barber
46
2
0
19 Feb 2024
Purifying Large Language Models by Ensembling a Small Language Model
Purifying Large Language Models by Ensembling a Small Language Model
Tianlin Li
Qian Liu
Tianyu Pang
Chao Du
Qing Guo
Yang Liu
Min Lin
58
16
0
19 Feb 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc
  Explanations
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations
Milan Bhan
Jean-Noel Vittaut
Nicolas Chesneau
Marie-Jeanne Lesot
ReLM
LRM
51
4
0
19 Feb 2024
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large
  Language Models
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models
Tianjie Ju
Yijin Chen
Xinwei Yuan
ZhuoSheng Zhang
Wei Du
Yubin Zheng
Gongshen Liu
KELM
35
8
0
19 Feb 2024
Revisiting Knowledge Distillation for Autoregressive Language Models
Revisiting Knowledge Distillation for Autoregressive Language Models
Qihuang Zhong
Liang Ding
Li Shen
Juhua Liu
Bo Du
Dacheng Tao
KELM
49
19
0
19 Feb 2024
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large
  Language Models with Reverse Prompt Contrastive Decoding
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
Qihuang Zhong
Liang Ding
Juhua Liu
Bo Du
Dacheng Tao
LM&MA
44
22
0
19 Feb 2024
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional
  Supporters for Queer Youth
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
Shir Lissak
Nitay Calderon
Geva Shenkman
Yaakov Ophir
Eyal Fruchter
A. Klomek
Roi Reichart
AI4MH
46
11
0
19 Feb 2024
InMD-X: Large Language Models for Internal Medicine Doctors
InMD-X: Large Language Models for Internal Medicine Doctors
Hansle Gwon
Imjin Ahn
Hyoje Jung
Byeolhee Kim
Young-Hak Kim
Tae Joon Jun
LM&MA
44
1
0
19 Feb 2024
NOTE: Notable generation Of patient Text summaries through Efficient
  approach based on direct preference optimization
NOTE: Notable generation Of patient Text summaries through Efficient approach based on direct preference optimization
Imjin Ahn
Hansle Gwon
Young-Hak Kim
Tae Joon Jun
Sanghyun Park
48
3
0
19 Feb 2024
Modularized Networks for Few-shot Hateful Meme Detection
Modularized Networks for Few-shot Hateful Meme Detection
Rui Cao
Roy Ka-wei Lee
Jing Jiang
35
4
0
19 Feb 2024
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot
  Interaction
SInViG: A Self-Evolving Interactive Visual Agent for Human-Robot Interaction
Jie Xu
Hanbo Zhang
Xinghang Li
Huaping Liu
Xuguang Lan
Tao Kong
LM&Ro
43
3
0
19 Feb 2024
Structured Chain-of-Thought Prompting for Few-Shot Generation of
  Content-Grounded QA Conversations
Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations
M. Sultan
Jatin Ganhotra
Ramón Fernández Astudillo
LRM
32
3
0
19 Feb 2024
A Transition System Abstraction Framework for Neural Network Dynamical
  System Models
A Transition System Abstraction Framework for Neural Network Dynamical System Models
Yejiang Yang
Zihao Mo
Hoang-Dung Tran
Weiming Xiang
30
0
0
18 Feb 2024
Utilizing BERT for Information Retrieval: Survey, Applications,
  Resources, and Challenges
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Jiajia Wang
Jimmy X. Huang
Xinhui Tu
Junmei Wang
Angela J. Huang
Md Tahmid Rahman Laskar
Amran Bhuiyan
44
28
0
18 Feb 2024
Solving Data-centric Tasks using Large Language Models
Solving Data-centric Tasks using Large Language Models
Shraddha Barke
Christian Poelitz
Carina Negreanu
Ben Zorn
J. Cambronero
...
Nadia Polikarpova
Advait Sarkar
Brian Slininger
N. Toronto
Jack Williams
41
1
0
18 Feb 2024
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing
  with Language Models
Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models
Paramveer S. Dhillon
Somayeh Molaei
Jiaqi Li
Maximilian Golub
Shaochun Zheng
Lionel P. Robert
LLMAG
59
43
0
18 Feb 2024
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
On the Roles of LLMs in Planning: Embedding LLMs into Planning Graphs
H. Zhuo
Xin Chen
Rong Pan
47
2
0
18 Feb 2024
Efficient Multimodal Learning from Data-centric Perspective
Efficient Multimodal Learning from Data-centric Perspective
Muyang He
Yexin Liu
Boya Wu
Jianhao Yuan
Yueze Wang
Tiejun Huang
Bo Zhao
MLLM
43
85
0
18 Feb 2024
In-Context Example Ordering Guided by Label Distributions
In-Context Example Ordering Guided by Label Distributions
Zhichao Xu
Daniel Cohen
Bei Wang
Vivek Srikumar
44
7
0
18 Feb 2024
Language Models Don't Learn the Physical Manifestation of Language
Language Models Don't Learn the Physical Manifestation of Language
Bruce W. Lee
Jaehyuk Lim
LRM
45
3
0
17 Feb 2024
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large
  Language Models
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models
Wendi Cui
Jiaxin Zhang
Zhuohang Li
Hao Sun
Damien Lopez
Kamalika Das
Bradley Malin
Kumar Sricharan
32
7
0
17 Feb 2024
CoLLaVO: Crayon Large Language and Vision mOdel
CoLLaVO: Crayon Large Language and Vision mOdel
Byung-Kwan Lee
Beomchan Park
Chae Won Kim
Yonghyun Ro
VLM
MLLM
51
16
0
17 Feb 2024
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate
  Speech into Large Language Models for Depression Detection
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection
Xiangyu Zhang
Hexin Liu
Kaishuai Xu
Qiquan Zhang
Daijiao Liu
Beena Ahmed
Julien Epps
31
8
0
17 Feb 2024
Speculative Streaming: Fast LLM Inference without Auxiliary Models
Speculative Streaming: Fast LLM Inference without Auxiliary Models
Nikhil Bhendawade
Irina Belousova
Qichen Fu
Henry Mason
Mohammad Rastegari
Mahyar Najibi
LRM
36
29
0
16 Feb 2024
Can Separators Improve Chain-of-Thought Prompting?
Can Separators Improve Chain-of-Thought Prompting?
Yoonjeong Park
Hyunjin Kim
Chanyeol Choi
Junseong Kim
Jy-yong Sohn
LRM
ReLM
26
2
0
16 Feb 2024
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate
  Controllable Controversial Statements
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
Ming Li
Jiuhai Chen
Lichang Chen
Dinesh Manocha
76
18
0
16 Feb 2024
Large Language Models as Zero-shot Dialogue State Tracker through
  Function Calling
Large Language Models as Zero-shot Dialogue State Tracker through Function Calling
Zekun Li
Zhiyu Zoey Chen
Mike Ross
Patrick Huber
Seungwhan Moon
Zhaojiang Lin
Xin Luna Dong
Adithya Sagar
Xifeng Yan
Paul A. Crook
46
22
0
16 Feb 2024
Understanding In-Context Learning with a Pelican Soup Framework
Understanding In-Context Learning with a Pelican Soup Framework
Ting-Rui Chiang
Dani Yogatama
29
3
0
16 Feb 2024
Can we Soft Prompt LLMs for Graph Learning Tasks?
Can we Soft Prompt LLMs for Graph Learning Tasks?
Zheyuan Liu
Xiaoxin He
Yijun Tian
Nitesh Chawla
58
22
0
15 Feb 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
33
2
0
15 Feb 2024
Generative AI and Process Systems Engineering: The Next Frontier
Generative AI and Process Systems Engineering: The Next Frontier
Benjamin Decardi-Nelson
Abdulelah S. Alshehri
Akshay Ajagekar
Fengqi You
AI4CE
LLMAG
37
24
0
15 Feb 2024
Quantized Embedding Vectors for Controllable Diffusion Language Models
Quantized Embedding Vectors for Controllable Diffusion Language Models
Cheng Kang
Xinye Chen
Yong Hu
Daniel Novak
31
0
0
15 Feb 2024
Towards Safer Large Language Models through Machine Unlearning
Towards Safer Large Language Models through Machine Unlearning
Zheyuan Liu
Guangyao Dou
Zhaoxuan Tan
Yijun Tian
Meng Jiang
KELM
MU
43
73
0
15 Feb 2024
SwissNYF: Tool Grounded LLM Agents for Black Box Setting
SwissNYF: Tool Grounded LLM Agents for Black Box Setting
Somnath Sendhil Kumar
Dhruv Jain
Eshaan Agarwal
Raunak Pandey
LLMAG
40
0
0
15 Feb 2024
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization
  Method for Alignment of Large Language Models
RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models
Saeed Khaki
JinJin Li
Lan Ma
Liu Yang
Prathap Ramachandra
31
19
0
15 Feb 2024
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