Chinchilla Scaling: A replication attempt

15 April 2024

Papers citing "Chinchilla Scaling: A replication attempt"

9 / 9 papers shown

Title
Forecasting Frontier Language Model Agent Capabilities Govind Pimpale Axel Højmark Jérémy Scheurer Marius Hobbhahn LLMAG ELM 41 1 0 21 Feb 2025
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity Yuqi Luo Chenyang Song Xu Han Y. Chen Chaojun Xiao Zhiyuan Liu Maosong Sun 47 3 0 04 Nov 2024
How Does Critical Batch Size Scale in Pre-training? Hanlin Zhang Depen Morwani Nikhil Vyas Jingfeng Wu Difan Zou Udaya Ghai Dean Phillips Foster Sham Kakade 59 8 0 29 Oct 2024
Resolving Discrepancies in Compute-Optimal Scaling of Language Models Tomer Porian Mitchell Wortsman J. Jitsev Ludwig Schmidt Y. Carmon 48 19 0 27 Jun 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data Licong Lin Jingfeng Wu Sham Kakade Peter L. Bartlett Jason D. Lee LRM 20 15 0 12 Jun 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance Jiasheng Ye Peiju Liu Tianxiang Sun Yunhua Zhou Jun Zhan Xipeng Qiu 35 58 0 25 Mar 2024
A Dynamical Model of Neural Scaling Laws Blake Bordelon Alexander B. Atanasov C. Pehlevan 38 36 0 02 Feb 2024
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism DeepSeek-AI Xiao Bi : Xiao Bi Deli Chen Guanting Chen ... Yao Zhao Shangyan Zhou Shunfeng Zhou Qihao Zhu Yuheng Zou LRM ALM 133 298 0 05 Jan 2024
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws Nikhil Sardana Jacob P. Portes Sasha Doubov Jonathan Frankle LRM 217 64 0 31 Dec 2023