Practical Scaling Laws: Converting Compute into Performance in a Data-Constrained World
cs.LG
Submitted: 2026-05-09
Updated: 2026-09-21
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Fluid Intelligence: A Forward Look on AI Foundation Models in Computational Fluid Dynamics
- Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling
- Chinchilla Scaling: A replication attempt
- Neural Scaling Laws Rooted in the Data Distribution
- TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
- Scaling Laws for Autoregressive Generative Modeling
- Scaling Laws for Transfer
- Scaling Laws and Interpretability of Learning from Repeated Data
- Deep Learning Scaling is Predictable, Empirically
- Scaling Laws for Neural Language Models
- Reusing Overtrained Language Models Saturates Scaling
- Can Language Models Discover Scaling Laws?
- A Solvable Model of Neural Scaling Laws
- Data Scaling Laws for Radiology Foundation Models
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