ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.11446
  4. Cited By
Scaling Language Models: Methods, Analysis & Insights from Training
  Gopher

Scaling Language Models: Methods, Analysis & Insights from Training Gopher

8 December 2021
Jack W. Rae
Sebastian Borgeaud
Trevor Cai
Katie Millican
Jordan Hoffmann
Francis Song
John Aslanides
Sarah Henderson
Roman Ring
Susannah Young
Eliza Rutherford
Tom Hennigan
Jacob Menick
Albin Cassirer
Richard Powell
George van den Driessche
Lisa Anne Hendricks
Maribeth Rauh
Po-Sen Huang
Amelia Glaese
Johannes Welbl
Sumanth Dathathri
Saffron Huang
J. Uesato
John F. J. Mellor
I. Higgins
Antonia Creswell
Nat McAleese
Amy Wu
Erich Elsen
Siddhant M. Jayakumar
Elena Buchatskaya
David Budden
Esme Sutherland
Karen Simonyan
Michela Paganini
Laurent Sifre
Lena Martens
Xiang Lorraine Li
A. Kuncoro
Aida Nematzadeh
E. Gribovskaya
Domenic Donato
Angeliki Lazaridou
A. Mensch
Jean-Baptiste Lespiau
Maria Tsimpoukelli
N. Grigorev
Doug Fritz
Thibault Sottiaux
Mantas Pajarskas
Tobias Pohlen
Z. Gong
Daniel Toyama
Cyprien de Masson dÁutume
Yujia Li
Tayfun Terzi
Vladimir Mikulik
Igor Babuschkin
Aidan Clark
Diego de Las Casas
Aurelia Guy
Chris Jones
James Bradbury
Matthew J. Johnson
Blake A. Hechtman
Laura Weidinger
Iason Gabriel
William S. Isaac
Edward Lockhart
Simon Osindero
Laura Rimell
Chris Dyer
Oriol Vinyals
Kareem W. Ayoub
Jeff Stanway
L. Bennett
Demis Hassabis
Koray Kavukcuoglu
G. Irving
ArXivPDFHTML

Papers citing "Scaling Language Models: Methods, Analysis & Insights from Training Gopher"

50 / 54 papers shown
Title
DataRater: Meta-Learned Dataset Curation
DataRater: Meta-Learned Dataset Curation
Dan A. Calian
Gregory Farquhar
Iurii Kemaev
Luisa M. Zintgraf
Matteo Hessel
...
András Gyorgy
Tom Schaul
Jeffrey Dean
Hado van Hasselt
David Silver
114
0
0
23 May 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training
Huishuai Zhang
Bohan Wang
Luoxin Chen
ODL
141
0
0
22 May 2025
Enhancing LLMs via High-Knowledge Data Selection
Enhancing LLMs via High-Knowledge Data Selection
Feiyu Duan
Xuemiao Zhang
Sirui Wang
Haoran Que
Yuqi Liu
Wenge Rong
Xunliang Cai
123
0
0
20 May 2025
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models
Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models
Xinlin Zhuang
Jiahui Peng
Ren Ma
Yucheng Wang
Tianyi Bai
Xingjian Wei
Jiantao Qiu
Chi Zhang
Ying Qian
Conghui He
86
0
0
19 Apr 2025
ConceptCarve: Dynamic Realization of Evidence
ConceptCarve: Dynamic Realization of Evidence
Eylon Caplan
Dan Goldwasser
69
0
0
09 Apr 2025
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute
Jianhao Chen
Zishuo Xun
Bocheng Zhou
Han Qi
Qiaosheng Zhang
...
Wei Hu
Yuzhong Qu
W. Ouyang
Wanli Ouyang
Shuyue Hu
99
2
0
01 Apr 2025
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection
Xiaoxuan Zhu
Zhouhong Gu
Baiqian Wu
Suhang Zheng
Tao Wang
Tianyu Li
Hongwei Feng
Yanghua Xiao
124
0
0
01 Apr 2025
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
Fengze Yang
Xiaoyue Cathy Liu
Lingjiu Lu
Bingzhang Wang
Chenxi
51
0
0
25 Feb 2025
Slamming: Training a Speech Language Model on One GPU in a Day
Slamming: Training a Speech Language Model on One GPU in a Day
Gallil Maimon
Avishai Elmakies
Yossi Adi
56
3
0
19 Feb 2025
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale
Fan Zhou
Zengzhi Wang
Qian Liu
Junlong Li
Pengfei Liu
ALM
146
15
0
17 Feb 2025
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
Pengcheng Jiang
Lang Cao
Ruike Zhu
Minhao Jiang
Yunyi Zhang
Jimeng Sun
Jiawei Han
RALM
160
1
0
16 Feb 2025
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics
Kai He
Rui Mao
Qika Lin
Yucheng Ruan
Xiang Lan
Mengling Feng
Min Zhang
LM&MA
AILaw
154
166
0
28 Jan 2025
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
Merino: Entropy-driven Design for Generative Language Models on IoT Devices
Youpeng Zhao
Ming Lin
Huadong Tang
Qiang Wu
Jun Wang
98
0
0
28 Jan 2025
From Critique to Clarity: A Pathway to Faithful and Personalized Code Explanations with Large Language Models
Zexing Xu
Zhuang Luo
Yichuan Li
Kyumin Lee
S. Rasoul Etesami
76
0
0
28 Jan 2025
FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration
FED: Fast and Efficient Dataset Deduplication Framework with GPU Acceleration
Youngjun Son
Chaewon Kim
Jaejin Lee
75
0
0
02 Jan 2025
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages
Tejas Deshpande
Nidhi Kowtal
Raviraj Joshi
LRM
78
1
0
31 Dec 2024
GPT or BERT: why not both?
GPT or BERT: why not both?
Lucas Georges Gabriel Charpentier
David Samuel
111
5
0
31 Dec 2024
Nash CoT: Multi-Path Inference with Preference Equilibrium
Nash CoT: Multi-Path Inference with Preference Equilibrium
Ziqi Zhang
Cunxiang Wang
Xiong Xiao
Yue Zhang
Donglin Wang
LRM
58
1
0
31 Dec 2024
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Ruben Ohana
Michael McCabe
Lucas Meyer
Rudy Morel
Fruzsina J. Agocs
...
François Rozet
Liam Parker
M. Cranmer
S. Ho
Shirley Ho
PINN
AI4CE
116
12
1
30 Nov 2024
Training Bilingual LMs with Data Constraints in the Targeted Language
Training Bilingual LMs with Data Constraints in the Targeted Language
Skyler Seto
Maartje ter Hoeve
He Bai
Natalie Schluter
David Grangier
117
0
0
20 Nov 2024
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts
Zhenpeng Su
Xing Wu
Zijia Lin
Yizhe Xiong
Minxuan Lv
Guangyuan Ma
Hui Chen
Songlin Hu
Guiguang Ding
MoE
49
4
0
21 Oct 2024
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
MIND: Math Informed syNthetic Dialogues for Pretraining LLMs
Syeda Nahida Akter
Shrimai Prabhumoye
John Kamalu
S. Satheesh
Eric Nyberg
M. Patwary
Mohammad Shoeybi
Bryan Catanzaro
LRM
SyDa
ReLM
118
1
0
15 Oct 2024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
Philipp Guldimann
Alexander Spiridonov
Robin Staab
Nikola Jovanović
Mark Vero
...
Mislav Balunović
Nikola Konstantinov
Pavol Bielik
Petar Tsankov
Martin Vechev
ELM
64
6
0
10 Oct 2024
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao
Hanze Dong
Amrita Saha
Caiming Xiong
Doyen Sahoo
LRM
65
5
0
10 Oct 2024
AI, Climate, and Regulation: From Data Centers to the AI Act
AI, Climate, and Regulation: From Data Centers to the AI Act
Kai Ebert
Nicolas Alder
Ralf Herbrich
Philipp Hacker
AI4CE
74
0
0
09 Oct 2024
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts
Minh Le
Chau Nguyen
Huy Nguyen
Quyen Tran
Trung Le
Nhat Ho
64
5
0
03 Oct 2024
The Role of Deductive and Inductive Reasoning in Large Language Models
The Role of Deductive and Inductive Reasoning in Large Language Models
Chengkun Cai
Xu Zhao
Haoliang Liu
Zhongyu Jiang
Tianfang Zhang
Zongkai Wu
Lei Li
Lei Li
Lei Li
LRM
73
3
0
03 Oct 2024
Flash STU: Fast Spectral Transform Units
Flash STU: Fast Spectral Transform Units
Y. Isabel Liu
Windsor Nguyen
Yagiz Devre
Evan Dogariu
Anirudha Majumdar
Elad Hazan
AI4TS
88
1
0
16 Sep 2024
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization
Gentiana Rashiti
G. Karunaratne
Mrinmaya Sachan
Abu Sebastian
Abbas Rahimi
RALM
130
0
0
12 Sep 2024
Claim Verification in the Age of Large Language Models: A Survey
Claim Verification in the Age of Large Language Models: A Survey
A. Dmonte
Roland Oruche
Marcos Zampieri
Prasad Calyam
Isabelle Augenstein
72
9
0
26 Aug 2024
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models
A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models
Geonhee Kim
Marco Valentino
André Freitas
LRM
AI4CE
66
9
0
16 Aug 2024
Harvesting Textual and Structured Data from the HAL Publication Repository
Harvesting Textual and Structured Data from the HAL Publication Repository
Francis Kulumba
Wissam Antoun
Guillaume Vimont
Laurent Romary
68
2
0
30 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 Lin
MoE
101
49
1
01 Jul 2024
Paraphrase Types Elicit Prompt Engineering Capabilities
Paraphrase Types Elicit Prompt Engineering Capabilities
Jan Philip Wahle
Terry Ruas
Yang Xu
Bela Gipp
68
10
0
28 Jun 2024
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Resolving Discrepancies in Compute-Optimal Scaling of Language Models
Tomer Porian
Mitchell Wortsman
J. Jitsev
Ludwig Schmidt
Y. Carmon
95
23
0
27 Jun 2024
PORT: Preference Optimization on Reasoning Traces
PORT: Preference Optimization on Reasoning Traces
Salem Lahlou
Abdalgader Abubaker
Hakim Hacid
LRM
69
5
0
23 Jun 2024
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
Zhou Yang
Zhou Yang
Chenglong Ye
Yufeng Wang
Haizhou Sun
Chao Chen
Xiaofei Zhu
Yunbing Wu
Xiangwen Liao
109
1
0
04 Jun 2024
Temporal Scaling Law for Large Language Models
Temporal Scaling Law for Large Language Models
Yizhe Xiong
Xiansheng Chen
Xin Ye
Hui Chen
Zijia Lin
...
Zhenpeng Su
Wei Huang
Jianwei Niu
Jiawei Han
Guiguang Ding
67
10
0
27 Apr 2024
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Yu Xia
Rui Wang
Xu Liu
Mingyan Li
Tong Yu
Xiang Chen
Julian McAuley
Shuai Li
LRM
73
21
0
24 Apr 2024
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Solvers for Math Word Problems
Qihuang Zhong
Kang Wang
Ziyang Xu
Juhua Liu
Liang Ding
Bo Du
LRM
AIMat
73
4
0
23 Apr 2024
The Impact of Unstated Norms in Bias Analysis of Language Models
The Impact of Unstated Norms in Bias Analysis of Language Models
Farnaz Kohankhaki
D. B. Emerson
David B. Emerson
Laleh Seyyed-Kalantari
Faiza Khan Khattak
71
1
0
04 Apr 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye
Peiju Liu
Tianxiang Sun
Yunhua Zhou
Jun Zhan
Xipeng Qiu
77
73
0
25 Mar 2024
Understanding Emergent Abilities of Language Models from the Loss Perspective
Understanding Emergent Abilities of Language Models from the Loss Perspective
Zhengxiao Du
Aohan Zeng
Yuxiao Dong
Jie Tang
UQCV
LRM
99
51
0
23 Mar 2024
Yi: Open Foundation Models by 01.AI
Yi: Open Foundation Models by 01.AI
01. AI
Alex Young
01.AI Alex Young
Bei Chen
Chao Li
...
Yue Wang
Yuxuan Cai
Zhenyu Gu
Zhiyuan Liu
Zonghong Dai
OSLM
LRM
200
538
0
07 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
139
18
0
28 Feb 2024
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
166
389
0
09 Feb 2024
Tradeoffs Between Alignment and Helpfulness in Language Models with Steering Methods
Tradeoffs Between Alignment and Helpfulness in Language Models with Steering Methods
Yotam Wolf
Noam Wies
Dorin Shteyman
Binyamin Rothberg
Yoav Levine
Amnon Shashua
LLMSV
78
13
0
29 Jan 2024
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration
Mike Heddes
Narayan Srinivasa
T. Givargis
Alexandru Nicolau
160
0
0
12 Jan 2024
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
Hongzhan Lin
Ziyang Luo
Bo Wang
Ruichao Yang
Jing Ma
72
28
0
03 Jan 2024
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language Models
Wenqi Jiang
Marco Zeller
R. Waleffe
Torsten Hoefler
Gustavo Alonso
85
15
0
15 Oct 2023
12
Next