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Training Compute-Optimal Large Language Models

Training Compute-Optimal Large Language Models

29 March 2022
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
Eliza Rutherford
Diego de Las Casas
Lisa Anne Hendricks
Johannes Welbl
Aidan Clark
Tom Hennigan
Eric Noland
Katie Millican
George van den Driessche
Bogdan Damoc
Aurelia Guy
Simon Osindero
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
    AI4TS
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Papers citing "Training Compute-Optimal Large Language Models"

50 / 316 papers shown
Title
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
Xin Zhang
Jiawei Du
Ping Liu
Joey Tianyi Zhou
DD
42
2
0
13 Aug 2024
ThinK: Thinner Key Cache by Query-Driven Pruning
ThinK: Thinner Key Cache by Query-Driven Pruning
Yuhui Xu
Zhanming Jie
Hanze Dong
Lei Wang
Xudong Lu
Aojun Zhou
Amrita Saha
Caiming Xiong
Doyen Sahoo
67
14
0
30 Jul 2024
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models
Haoyu Tang
Ye Liu
Xukai Liu
Xukai Liu
Yanghai Zhang
Kai Zhang
Xiaofang Zhou
Enhong Chen
MU
62
3
0
25 Jul 2024
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
Zhengbo Wang
Jian Liang
Ran He
Zilei Wang
Tieniu Tan
50
15
0
25 Jul 2024
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
Beyond Next Token Prediction: Patch-Level Training for Large Language Models
Chenze Shao
Fandong Meng
Jie Zhou
41
1
0
17 Jul 2024
R+X: Retrieval and Execution from Everyday Human Videos
R+X: Retrieval and Execution from Everyday Human Videos
Georgios Papagiannis
Norman Di Palo
Pietro Vitiello
Edward Johns
51
15
0
17 Jul 2024
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs
Quang H. Nguyen
Duy C. Hoang
Juliette Decugis
Saurav Manchanda
Nitesh V. Chawla
Khoa D. Doan
Khoa D. Doan
37
6
0
15 Jul 2024
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
Wentao Zhang
Junliang Guo
Tianyu He
Li Zhao
Linli Xu
Jiang Bian
34
3
0
10 Jul 2024
Training on the Test Task Confounds Evaluation and Emergence
Training on the Test Task Confounds Evaluation and Emergence
Ricardo Dominguez-Olmedo
Florian E. Dorner
Moritz Hardt
ELM
58
6
1
10 Jul 2024
Leveraging Large Language Models for Integrated
  Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
Shumaila Javaid
R. A. Khalil
Nasir Saeed
Bin He
Mohamed-Slim Alouini
32
9
0
05 Jul 2024
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton
  Stepsizes
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
Antonio Orvieto
Lin Xiao
32
2
0
05 Jul 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
56
92
0
05 Jul 2024
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
On the Workflows and Smells of Leaderboard Operations (LBOps): An Exploratory Study of Foundation Model Leaderboards
Zhimin Zhao
A. A. Bangash
F. Côgo
Bram Adams
Ahmed E. Hassan
54
0
0
04 Jul 2024
Reasoning in Large Language Models: A Geometric Perspective
Reasoning in Large Language Models: A Geometric Perspective
Romain Cosentino
Sarath Shekkizhar
LRM
42
2
0
02 Jul 2024
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
Daking Rai
Yilun Zhou
Shi Feng
Abulhair Saparov
Ziyu Yao
75
18
0
02 Jul 2024
RegMix: Data Mixture as Regression for Language Model Pre-training
RegMix: Data Mixture as Regression for Language Model Pre-training
Qian Liu
Xiaosen Zheng
Niklas Muennighoff
Guangtao Zeng
Longxu Dou
Tianyu Pang
Jing Jiang
Min-Bin Lin
MoE
67
36
1
01 Jul 2024
WARP: On the Benefits of Weight Averaged Rewarded Policies
WARP: On the Benefits of Weight Averaged Rewarded Policies
Alexandre Ramé
Johan Ferret
Nino Vieillard
Robert Dadashi
Léonard Hussenot
Pierre-Louis Cedoz
Pier Giuseppe Sessa
Sertan Girgin
Arthur Douillard
Olivier Bachem
50
13
0
24 Jun 2024
How Do Large Language Models Acquire Factual Knowledge During
  Pretraining?
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Hoyeon Chang
Jinho Park
Seonghyeon Ye
Sohee Yang
Youngkyung Seo
Du-Seong Chang
Minjoon Seo
KELM
33
30
0
17 Jun 2024
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous
  Preferences
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
Daiwei Chen
Yi Chen
Aniket Rege
Ramya Korlakai Vinayak
35
17
0
12 Jun 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Scaling Laws in Linear Regression: Compute, Parameters, and Data
Licong Lin
Jingfeng Wu
Sham Kakade
Peter L. Bartlett
Jason D. Lee
LRM
33
15
0
12 Jun 2024
The Impact of Initialization on LoRA Finetuning Dynamics
The Impact of Initialization on LoRA Finetuning Dynamics
Soufiane Hayou
Nikhil Ghosh
Bin Yu
AI4CE
34
10
0
12 Jun 2024
A Concept-Based Explainability Framework for Large Multimodal Models
A Concept-Based Explainability Framework for Large Multimodal Models
Jayneel Parekh
Pegah Khayatan
Mustafa Shukor
A. Newson
Matthieu Cord
32
16
0
12 Jun 2024
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation
Lu Li
T. Zhang
Zhiqi Bu
Suyuchen Wang
Huan He
Jie Fu
Yonghui Wu
Jiang Bian
Yong Chen
Yoshua Bengio
FedML
MoMe
92
3
0
11 Jun 2024
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
Teun van der Weij
Felix Hofstätter
Ollie Jaffe
Samuel F. Brown
Francis Rhys Ward
ELM
37
23
0
11 Jun 2024
Autoregressive Model Beats Diffusion: Llama for Scalable Image
  Generation
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Peize Sun
Yi Jiang
Shoufa Chen
Shilong Zhang
Bingyue Peng
Ping Luo
Zehuan Yuan
VLM
60
220
0
10 Jun 2024
Evaluating Zero-Shot Long-Context LLM Compression
Evaluating Zero-Shot Long-Context LLM Compression
Chenyu Wang
Yihan Wang
Kai Li
49
0
0
10 Jun 2024
Benchmark Data Contamination of Large Language Models: A Survey
Benchmark Data Contamination of Large Language Models: A Survey
Cheng Xu
Shuhao Guan
Derek Greene
Mohand-Tahar Kechadi
ELM
ALM
36
38
0
06 Jun 2024
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou
Shen Nie
Kaiwen Xue
Fengqi Zhu
Jiacheng Sun
Zhenguo Li
Chongxuan Li
DiffM
41
27
0
06 Jun 2024
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large
  Language Model Training
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training
Ao Sun
Weilin Zhao
Xu Han
Cheng Yang
Zhiyuan Liu
Chuan Shi
Maosong Sun
29
7
0
05 Jun 2024
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of
  LLMs
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
Shuang Ao
Stefan Rueger
Advaith Siddharthan
28
1
0
05 Jun 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Do's and Don'ts: Learning Desirable Skills with Instruction Videos
Hyunseung Kim
ByungKun Lee
Hojoon Lee
Dongyoon Hwang
Donghu Kim
Jaegul Choo
37
1
0
01 Jun 2024
Beyond Imitation: Learning Key Reasoning Steps from Dual
  Chain-of-Thoughts in Reasoning Distillation
Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation
Chengwei Dai
Kun Li
Wei Zhou
Song Hu
LRM
36
5
0
30 May 2024
Wavelet-Based Image Tokenizer for Vision Transformers
Wavelet-Based Image Tokenizer for Vision Transformers
Zhenhai Zhu
Radu Soricut
ViT
35
3
0
28 May 2024
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for
  Controllable Language Generation
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation
Chengxing Jia
Pengyuan Wang
Ziniu Li
Yi-Chen Li
Zhilong Zhang
Nan Tang
Yang Yu
OffRL
25
1
0
27 May 2024
Infinite Limits of Multi-head Transformer Dynamics
Infinite Limits of Multi-head Transformer Dynamics
Blake Bordelon
Hamza Tahir Chaudhry
C. Pehlevan
AI4CE
42
9
0
24 May 2024
A Misleading Gallery of Fluid Motion by Generative Artificial
  Intelligence
A Misleading Gallery of Fluid Motion by Generative Artificial Intelligence
Ali Kashefi
VGen
43
5
0
24 May 2024
Scaling Law for Time Series Forecasting
Scaling Law for Time Series Forecasting
Jingzhe Shi
Qinwei Ma
Huan Ma
Lei Li
AI4TS
31
8
0
24 May 2024
A Survey on Vision-Language-Action Models for Embodied AI
A Survey on Vision-Language-Action Models for Embodied AI
Yueen Ma
Zixing Song
Yuzheng Zhuang
Jianye Hao
Irwin King
LM&Ro
67
41
0
23 May 2024
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z. Leibo
GNN
18
28
0
22 May 2024
A Systematic Evaluation of Large Language Models for Natural Language
  Generation Tasks
A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks
Xuanfan Ni
Piji Li
ELM
LRM
26
8
0
16 May 2024
Beyond Scaling Laws: Understanding Transformer Performance with
  Associative Memory
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Xueyan Niu
Bo Bai
Lei Deng
Wei Han
31
6
0
14 May 2024
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach
  vs. Expensive LLM
CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM
Urjitkumar Patel
Fang-Chun Yeh
Chinmay Gondhalekar
19
3
0
10 May 2024
Large Language Models for Cyber Security: A Systematic Literature Review
Large Language Models for Cyber Security: A Systematic Literature Review
HanXiang Xu
Shenao Wang
Ningke Li
K. Wang
Yanjie Zhao
Kai Chen
Ting Yu
Yang Janet Liu
H. Wang
29
23
0
08 May 2024
Data Authenticity, Consent, & Provenance for AI are all broken: what
  will it take to fix them?
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
Shayne Longpre
Robert Mahari
Naana Obeng-Marnu
William Brannon
Tobin South
Katy Gero
Sandy Pentland
Jad Kabbara
56
5
0
19 Apr 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
Yufan Li
Subhabrata Sen
Ben Adlam
MLT
31
1
0
18 Apr 2024
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via
  Meta-Training and In-context Learning with Large Language Model
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model
Zita Lifelo
Huansheng Ning
Sahraoui Dhelim
AI4MH
38
0
0
13 Apr 2024
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs
  versus Traditional Relational Databases
Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases
Xiang Zhang
Khatoon Khedri
Reza Rawassizadeh
27
2
0
12 Apr 2024
YaART: Yet Another ART Rendering Technology
YaART: Yet Another ART Rendering Technology
Sergey Kastryulin
Artem Konev
Alexander Shishenya
Eugene Lyapustin
Artem Khurshudov
...
Dmitrii Kornilov
Mikhail Romanov
Artem Babenko
Sergei Ovcharenko
Valentin Khrulkov
EGVM
28
1
0
08 Apr 2024
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream
  Neural Network Enhancement with LLMs
GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs
Xiao Liu
Jiawei Zhang
30
0
0
29 Mar 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
41
79
0
26 Mar 2024
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