Will we run out of data? Limits of LLM scaling based on human-generated data

26 October 2022

Papers citing "Will we run out of data? Limits of LLM scaling based on human-generated data"

21 / 21 papers shown

Title
Position: Enough of Scaling LLMs! Lets Focus on Downscaling Ayan Sengupta Yash Goel Tanmoy Chakraborty 34 0 0 02 May 2025
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? Kai Yan Yufei Xu Zhengyin Du Xuesong Yao Z. Wang Xiaowen Guo Jiecao Chen ReLM ELM LRM 87 3 0 01 Apr 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 35 0 0 11 Mar 2025
Stackelberg Game Preference Optimization for Data-Efficient Alignment of Language Models Xu Chu Zhixin Zhang Tianyu Jia Yujie Jin 72 0 0 25 Feb 2025
Forecasting Frontier Language Model Agent Capabilities Govind Pimpale Axel Højmark Jérémy Scheurer Marius Hobbhahn LLMAG ELM 41 1 0 21 Feb 2025
Kimi k1.5: Scaling Reinforcement Learning with LLMs Kimi Team Angang Du Bofei Gao Bowei Xing Changjiu Jiang ... Zhilin Yang Zhiqi Huang Zihao Huang Ziyao Xu Z. Yang VLM ALM OffRL AI4TS LRM 106 128 0 22 Jan 2025
Are Transformers Truly Foundational for Robotics? James A. R. Marshall Andrew B. Barron AI4CE 71 0 0 25 Nov 2024
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment Elyas Obbad Iddah Mlauzi Brando Miranda Rylan Schaeffer Kamal Obbad Suhana Bedi Sanmi Koyejo CVBM 48 0 0 23 Oct 2024
Towards a Theoretical Understanding of Synthetic Data in LLM Post-Training: A Reverse-Bottleneck Perspective Zeyu Gan Yong Liu SyDa 33 1 0 02 Oct 2024
Scaling Synthetic Data Creation with 1,000,000,000 Personas Tao Ge Xin Chan Dian Yu Haitao Mi Dong Yu Dong Yu SyDa 106 89 0 28 Jun 2024
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
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes Zhen Qin Daoyuan Chen Bingchen Qian Bolin Ding Yaliang Li Shuiguang Deng FedML 32 30 0 11 Dec 2023
A Benchmark for Learning to Translate a New Language from One Grammar Book Garrett Tanzer Mirac Suzgun Chenguang Xi Dan Jurafsky Luke Melas-Kyriazi 16 51 0 28 Sep 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 83 84 0 27 Jun 2023
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis Fuzhao Xue Yao Fu Wangchunshu Zhou Zangwei Zheng Yang You 79 74 0 22 May 2023
What Language Model to Train if You Have One Million GPU Hours? Teven Le Scao Thomas Wang Daniel Hesslow Lucile Saulnier Stas Bekman ... Lintang Sutawika Jaesung Tae Zheng-Xin Yong Julien Launay Iz Beltagy MoE AI4CE 215 103 0 27 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 234 588 0 14 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 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 220 4,424 0 23 Jan 2020
AI safety via debate G. Irving Paul Christiano Dario Amodei 199 199 0 02 May 2018