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A Hitchhiker's Guide to Scaling Law Estimation

15 October 2024

Papers citing "A Hitchhiker's Guide to Scaling Law Estimation"

48 / 48 papers shown

Title
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora Alex Warstadt Aaron Mueller Leshem Choshen E. Wilcox Chengxu Zhuang ... Rafael Mosquera Bhargavi Paranjape Adina Williams Tal Linzen Ryan Cotterell 190 120 0 10 Apr 2025
Scaling Laws for Downstream Task Performance in Machine Translation Berivan Isik Natalia Ponomareva Hussein Hazimeh Dimitris Paparas Sergei Vassilvitskii Sanmi Koyejo 160 23 0 24 Feb 2025
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines Ayan Sengupta Ayan Sengupta Tanmoy Chakraborty 143 0 0 17 Feb 2025
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families Felipe Maia Polo Shivalika Singh Leshem Choshen Yuekai Sun Mikhail Yurochkin 206 8 0 09 Dec 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora Michael Y. Hu Aaron Mueller Candace Ross Adina Williams Tal Linzen Chengxu Zhuang Ryan Cotterell Leshem Choshen Alex Warstadt Ethan Gotlieb Wilcox 169 14 0 06 Dec 2024
$u-$\mu$P: The Unit-Scaled Maximal Update Parametrization$ u- $\mu$ P: The Unit-Scaled Maximal Update Parametrization Charlie Blake C. Eichenberg Josef Dean Lukas Balles Luke Y. Prince Bjorn Deiseroth Andres Felipe Cruz Salinas Carlo Luschi Samuel Weinbach Douglas Orr 107 10 0 24 Jul 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies Chaofan Tao Qian Liu Longxu Dou Niklas Muennighoff Zhongwei Wan Ping Luo Min Lin Ngai Wong PILM 110 54 0 18 Jul 2024
Resolving Discrepancies in Compute-Optimal Scaling of Language Models Tomer Porian Mitchell Wortsman J. Jitsev Ludwig Schmidt Y. Carmon 162 26 0 27 Jun 2024
Time Matters: Scaling Laws for Any Budget Itay Inbar Luke Sernau 45 2 0 27 Jun 2024
gzip Predicts Data-dependent Scaling Laws Rohan Pandey 79 11 0 26 May 2024
Super Tiny Language Models Dylan Hillier Leon Guertler Cheston Tan Palaash Agrawal Ruirui Chen Bobby Cheng 100 6 0 23 May 2024
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 111 10 0 27 Apr 2024
Chinchilla Scaling: A replication attempt T. Besiroglu Ege Erdil Matthew Barnett Josh You 92 24 0 15 Apr 2024
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Shengding Hu Yuge Tu Xu Han Chaoqun He Ganqu Cui ... Chaochao Jia Guoyang Zeng Dahai Li Zhiyuan Liu Maosong Sun MoE 107 345 0 09 Apr 2024
Emergent Abilities in Reduced-Scale Generative Language Models Sherin Muckatira Vijeta Deshpande Vladislav Lialin Anna Rumshisky ReLM ELM LRM 51 5 0 02 Apr 2024
Language models scale reliably with over-training and on downstream tasks S. Gadre Georgios Smyrnis Vaishaal Shankar Suchin Gururangan Mitchell Wortsman ... Y. Carmon Achal Dave Reinhard Heckel Niklas Muennighoff Ludwig Schmidt ALM ELM LRM 159 48 0 13 Mar 2024
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method Biao Zhang Zhongtao Liu Colin Cherry Orhan Firat LRM 108 157 0 27 Feb 2024
Scaling Laws for Fine-Grained Mixture of Experts Jakub Krajewski Jan Ludziejewski Kamil Adamczewski Maciej Pióro Michal Krutul ... Krystian Król Tomasz Odrzygó'zd'z Piotr Sankowski Marek Cygan Sebastian Jaszczur MoE 99 60 0 12 Feb 2024
Repeat After Me: Transformers are Better than State Space Models at Copying Samy Jelassi David Brandfonbrener Sham Kakade Eran Malach 163 95 0 01 Feb 2024
In-Context Language Learning: Architectures and Algorithms Ekin Akyürek Bailin Wang Yoon Kim Jacob Andreas LRM ReLM 115 56 0 23 Jan 2024
How predictable is language model benchmark performance? David Owen ELM LRM 77 22 0 09 Jan 2024
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws Nikhil Sardana Jacob P. Portes Sasha Doubov Jonathan Frankle LRM 358 88 0 31 Dec 2023
LLM360: Towards Fully Transparent Open-Source LLMs Zhengzhong Liu Aurick Qiao Willie Neiswanger Hongyi Wang Bowen Tan ... Zhiting Hu Mark Schulze Preslav Nakov Timothy Baldwin Eric Xing 119 78 0 11 Dec 2023
Small-scale proxies for large-scale Transformer training instabilities Mitchell Wortsman Peter J. Liu Lechao Xiao Katie Everett A. Alemi ... Jascha Narain Sohl-Dickstein Kelvin Xu Jaehoon Lee Justin Gilmer Simon Kornblith 103 99 0 25 Sep 2023
Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs Angelica Chen Ravid Schwartz-Ziv Kyunghyun Cho Matthew L. Leavitt Naomi Saphra 83 74 0 13 Sep 2023
Efficient Benchmarking of Language Models Yotam Perlitz Elron Bandel Ariel Gera Ofir Arviv L. Ein-Dor Eyal Shnarch Noam Slonim Michal Shmueli-Scheuer Leshem Choshen ALM 75 28 0 22 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 413 12,076 0 18 Jul 2023
Scaling Data-Constrained Language Models Niklas Muennighoff Alexander M. Rush Boaz Barak Teven Le Scao Aleksandra Piktus Nouamane Tazi S. Pyysalo Thomas Wolf Colin Raffel ALM 126 226 0 25 May 2023
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design Ibrahim Alabdulmohsin Xiaohua Zhai Alexander Kolesnikov Lucas Beyer VLM 121 64 0 22 May 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Stella Biderman Hailey Schoelkopf Quentin G. Anthony Herbie Bradley Kyle O'Brien ... USVSN Sai Prashanth Edward Raff Aviya Skowron Lintang Sutawika Oskar van der Wal 110 1,307 0 03 Apr 2023
Training Trajectories of Language Models Across Scales Mengzhou Xia Mikel Artetxe Chunting Zhou Xi Lin Ramakanth Pasunuru Danqi Chen Luke Zettlemoyer Ves Stoyanov AIFin LRM 89 64 0 19 Dec 2022
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model BigScience Workshop : Teven Le Scao Angela Fan Christopher Akiki ... Zhongli Xie Zifan Ye M. Bras Younes Belkada Thomas Wolf VLM 417 2,393 0 09 Nov 2022
Broken Neural Scaling Laws Ethan Caballero Kshitij Gupta Irina Rish David M. Krueger 80 76 0 26 Oct 2022
Revisiting Neural Scaling Laws in Language and Vision Ibrahim Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 220 111 0 13 Sep 2022
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 111 106 0 21 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher Robert Geirhos Shashank Shekhar Surya Ganguli Ari S. Morcos 100 444 0 29 Jun 2022
RITA: a Study on Scaling Up Generative Protein Sequence Models Daniel Hesslow Niccoló Zanichelli Pascal Notin Iacopo Poli D. Marks 56 99 0 11 May 2022
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
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer Greg Yang J. E. Hu Igor Babuschkin Szymon Sidor Xiaodong Liu David Farhi Nick Ryder J. Pachocki Weizhu Chen Jianfeng Gao 114 168 0 07 Mar 2022
Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments Maor Ivgi Y. Carmon Jonathan Berant 72 17 0 13 Feb 2022
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 103 119 0 05 Oct 2021
The Grammar-Learning Trajectories of Neural Language Models Leshem Choshen Guy Hacohen D. Weinshall Omri Abend 97 29 0 13 Sep 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective? Hiroaki Mikami Kenji Fukumizu Shogo Murai Shuji Suzuki Yuta Kikuchi Taiji Suzuki S. Maeda Kohei Hayashi 78 12 0 25 Aug 2021
The MultiBERTs: BERT Reproductions for Robustness Analysis Thibault Sellam Steve Yadlowsky Jason W. Wei Naomi Saphra Alexander DÁmour ... Iulia Turc Jacob Eisenstein Dipanjan Das Ian Tenney Ellie Pavlick 104 95 0 30 Jun 2021
Scaling Laws for Transfer Danny Hernandez Jared Kaplan T. Henighan Sam McCandlish 95 251 0 02 Feb 2021
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 904 42,463 0 28 May 2020
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
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 105 215 0 27 Sep 2019