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SkyLadder: Better and Faster Pretraining via Context Window Scheduling

SkyLadder: Better and Faster Pretraining via Context Window Scheduling

19 March 2025
Tongyao Zhu
Qian Liu
Haonan Wang
Shiqi Chen
Xiangming Gu
Tianyu Pang
Min-Yen Kan
ArXiv (abs)PDFHTML

Papers citing "SkyLadder: Better and Faster Pretraining via Context Window Scheduling"

31 / 31 papers shown
Title
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
208
15
0
17 Feb 2025
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum
Hadi Pouransari
Chun-Liang Li
Jen-Hao Rick Chang
Pavan Kumar Anasosalu Vasu
Cem Koc
Vaishaal Shankar
Oncel Tuzel
83
11
0
08 Jan 2025
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
Zhisong Zhang
Yan Wang
Xinting Huang
Tianqing Fang
Han Zhang
Chenlong Deng
Shuaiyi Li
Dong Yu
131
6
0
21 Dec 2024
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context
  Training
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Haonan Wang
Qian Liu
Chao Du
Tongyao Zhu
Cunxiao Du
Kenji Kawaguchi
Tianyu Pang
208
8
0
20 Nov 2024
ControlMM: Controllable Masked Motion Generation
ControlMM: Controllable Masked Motion Generation
Ekkasit Pinyoanuntapong
Muhammad Usama Saleem
Korrawe Karunratanakul
Pu Wang
Hongfei Xue
Chong Chen
Chuan Guo
Junli Cao
J. Ren
Sergey Tulyakov
VGen
84
7
0
14 Oct 2024
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly
Howard Yen
Tianyu Gao
Minmin Hou
Ke Ding
Daniel Fleischer
Peter Izsak
Moshe Wasserblat
Danqi Chen
ALMELM
122
37
0
03 Oct 2024
How to Train Long-Context Language Models (Effectively)
How to Train Long-Context Language Models (Effectively)
Tianyu Gao
Alexander Wettig
Howard Yen
Danqi Chen
RALM
168
48
0
03 Oct 2024
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
Terry Yue Zhuo
Minh Chien Vu
Jenny Chim
Han Hu
Wenhao Yu
...
David Lo
Daniel Fried
Xiaoning Du
H. D. Vries
Leandro von Werra
206
192
0
22 Jun 2024
OLMES: A Standard for Language Model Evaluations
OLMES: A Standard for Language Model Evaluations
Yuling Gu
Oyvind Tafjord
Bailey Kuehl
Dany Haddad
Jesse Dodge
Hannaneh Hajishirzi
ELM
114
20
0
12 Jun 2024
Base of RoPE Bounds Context Length
Base of RoPE Bounds Context Length
Xin Men
Mingyu Xu
Bingning Wang
Qingyu Zhang
Hongyu Lin
Xianpei Han
Weipeng Chen
94
26
0
23 May 2024
Analysing The Impact of Sequence Composition on Language Model
  Pre-Training
Analysing The Impact of Sequence Composition on Language Model Pre-Training
Yu Zhao
Yuanbin Qu
Konrad Staniszewski
Szymon Tworkowski
Wei Liu
Piotr Milo's
Yuxiang Wu
Pasquale Minervini
83
15
0
21 Feb 2024
TinyLlama: An Open-Source Small Language Model
TinyLlama: An Open-Source Small Language Model
Peiyuan Zhang
Guangtao Zeng
Tianduo Wang
Wei Lu
ALMLRM
160
407
0
04 Jan 2024
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Hongye Jin
Xiaotian Han
Jingfeng Yang
Zhimeng Jiang
Zirui Liu
Chia-Yuan Chang
Huiyuan Chen
Helen Zhou
117
118
0
02 Jan 2024
GrowLength: Accelerating LLMs Pretraining by Progressively Growing
  Training Length
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length
Hongye Jin
Xiaotian Han
Jingfeng Yang
Zhimeng Jiang
Chia-Yuan Chang
Helen Zhou
77
11
0
01 Oct 2023
YaRN: Efficient Context Window Extension of Large Language Models
YaRN: Efficient Context Window Extension of Large Language Models
Bowen Peng
Jeffrey Quesnelle
Honglu Fan
Enrico Shippole
OSLM
81
264
0
31 Aug 2023
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
208
1,987
0
29 Mar 2022
Unsupervised Dense Information Retrieval with Contrastive Learning
Unsupervised Dense Information Retrieval with Contrastive Learning
Gautier Izacard
Mathilde Caron
Lucas Hosseini
Sebastian Riedel
Piotr Bojanowski
Armand Joulin
Edouard Grave
RALM
228
925
0
16 Dec 2021
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup
  for Training GPT Models
The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
Conglong Li
Minjia Zhang
Yuxiong He
63
38
0
13 Aug 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
238
5,675
0
07 Jul 2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
RoFormer: Enhanced Transformer with Rotary Position Embedding
Jianlin Su
Yu Lu
Shengfeng Pan
Ahmed Murtadha
Bo Wen
Yunfeng Liu
329
2,533
0
20 Apr 2021
Semi-supervised URL Segmentation with Recurrent Neural Networks
  Pre-trained on Knowledge Graph Entities
Semi-supervised URL Segmentation with Recurrent Neural Networks Pre-trained on Knowledge Graph Entities
Hao Zhang
Jae Hun Ro
R. Sproat
47
13
0
05 Nov 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
651
4,925
0
23 Jan 2020
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OODLRM
192
1,847
0
26 Nov 2019
CommonsenseQA: A Question Answering Challenge Targeting Commonsense
  Knowledge
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Alon Talmor
Jonathan Herzig
Nicholas Lourie
Jonathan Berant
RALM
146
1,754
0
02 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,324
0
11 Oct 2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question
  Answering
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Zhilin Yang
Peng Qi
Saizheng Zhang
Yoshua Bengio
William W. Cohen
Ruslan Salakhutdinov
Christopher D. Manning
RALM
212
2,703
0
25 Sep 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
808
132,725
0
12 Jun 2017
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for
  Reading Comprehension
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Mandar Joshi
Eunsol Choi
Daniel S. Weld
Luke Zettlemoyer
RALM
242
2,692
0
09 May 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
205
1,359
0
15 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
316
8,177
0
16 Jun 2016
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
240
2,541
0
03 Jun 2015
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