Practical Scaling Laws: Converting Compute into Performance in a Data-Constrained World
Fuente:
arXiv
Saved in:
| Main Authors: | Bryant, Christopher M., Liu, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Prescriptive Scaling Laws for Data Constrained Training
by: Lovelace, Justin, et al.
Published: (2026)
by: Lovelace, Justin, et al.
Published: (2026)
Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
by: Goyal, Sachin, et al.
Published: (2024)
by: Goyal, Sachin, et al.
Published: (2024)
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
by: Askari-Hemmat, Reyhane, et al.
Published: (2025)
by: Askari-Hemmat, Reyhane, et al.
Published: (2025)
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
by: Liu, Lei, et al.
Published: (2025)
by: Liu, Lei, et al.
Published: (2025)
Scaling Laws in Linear Regression: Compute, Parameters, and Data
by: Lin, Licong, et al.
Published: (2024)
by: Lin, Licong, et al.
Published: (2024)
Configuration-to-Performance Scaling Law with Neural Ansatz
by: Zhang, Huaqing, et al.
Published: (2026)
by: Zhang, Huaqing, et al.
Published: (2026)
Scaling Laws for Optimal Data Mixtures
by: Shukor, Mustafa, et al.
Published: (2025)
by: Shukor, Mustafa, et al.
Published: (2025)
Compute-Constrained Data Selection
by: Yin, Junjie Oscar, et al.
Published: (2024)
by: Yin, Junjie Oscar, et al.
Published: (2024)
Entropy Law: The Story Behind Data Compression and LLM Performance
by: Yin, Mingjia, et al.
Published: (2024)
by: Yin, Mingjia, et al.
Published: (2024)
Scaling Laws for Pre-training Agents and World Models
by: Pearce, Tim, et al.
Published: (2024)
by: Pearce, Tim, et al.
Published: (2024)
Beyond Scaling Law: A Data-Efficient Distillation Framework for Reasoning
by: Wu, Xiaojun, et al.
Published: (2025)
by: Wu, Xiaojun, et al.
Published: (2025)
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
by: Niu, Xueyan, et al.
Published: (2024)
by: Niu, Xueyan, et al.
Published: (2024)
Scaling Law of Sim2Real Transfer Learning in Expanding Computational Materials Databases for Real-World Predictions
by: Minami, Shunya, et al.
Published: (2024)
by: Minami, Shunya, et al.
Published: (2024)
Towards Scaling Law Analysis For Spatiotemporal Weather Data
by: Kiefer, Alexander, et al.
Published: (2026)
by: Kiefer, Alexander, et al.
Published: (2026)
Analyzing Neural Scaling Laws in Two-Layer Networks with Power-Law Data Spectra
by: Worschech, Roman, et al.
Published: (2024)
by: Worschech, Roman, et al.
Published: (2024)
Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations
by: Hägele, Alexander, et al.
Published: (2024)
by: Hägele, Alexander, et al.
Published: (2024)
Scaling Laws for Precision
by: Kumar, Tanishq, et al.
Published: (2024)
by: Kumar, Tanishq, et al.
Published: (2024)
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
by: Beck, Maximilian, et al.
Published: (2025)
by: Beck, Maximilian, et al.
Published: (2025)
Scaling Data-Constrained Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)
by: Muennighoff, Niklas, et al.
Published: (2023)
Scaling Laws for the Value of Individual Data Points in Machine Learning
by: Covert, Ian, et al.
Published: (2024)
by: Covert, Ian, et al.
Published: (2024)
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
by: Jiang, Yiding, et al.
Published: (2024)
by: Jiang, Yiding, et al.
Published: (2024)
Zero-Shot Performance Prediction for Probabilistic Scaling Laws
by: Schram, Viktoria, et al.
Published: (2025)
by: Schram, Viktoria, et al.
Published: (2025)
Parametric Scaling Law of Tuning Bias in Conformal Prediction
by: Zeng, Hao, et al.
Published: (2025)
by: Zeng, Hao, et al.
Published: (2025)
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study
by: Liu, Hao, et al.
Published: (2024)
by: Liu, Hao, et al.
Published: (2024)
gzip Predicts Data-dependent Scaling Laws
by: Pandey, Rohan
Published: (2024)
by: Pandey, Rohan
Published: (2024)
Wukong: Towards a Scaling Law for Large-Scale Recommendation
by: Zhang, Buyun, et al.
Published: (2024)
by: Zhang, Buyun, et al.
Published: (2024)
On the Invariance and Generality of Neural Scaling Laws
by: Han, Xing, et al.
Published: (2026)
by: Han, Xing, et al.
Published: (2026)
Scaling Laws for Predicting Downstream Performance in LLMs
by: Chen, Yangyi, et al.
Published: (2024)
by: Chen, Yangyi, et al.
Published: (2024)
Provable Data Scaling Law for Meta Learning via Complexity Minimization
by: Fukuchi, Kazuto, et al.
Published: (2026)
by: Fukuchi, Kazuto, et al.
Published: (2026)
Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing
by: Lu, Rongwei, et al.
Published: (2023)
by: Lu, Rongwei, et al.
Published: (2023)
Scaling Laws for Downstream Task Performance of Large Language Models
by: Isik, Berivan, et al.
Published: (2024)
by: Isik, Berivan, et al.
Published: (2024)
Scaling Laws are Redundancy Laws
by: Bi, Yuda, et al.
Published: (2025)
by: Bi, Yuda, et al.
Published: (2025)
How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
Scaling Laws for Mixture Pretraining Under Data Constraints
by: Sedova, Anastasiia, et al.
Published: (2026)
by: Sedova, Anastasiia, et al.
Published: (2026)
Scaling Laws for Data-Efficient Visual Transfer Learning
by: Yang, Wenxuan, et al.
Published: (2025)
by: Yang, Wenxuan, et al.
Published: (2025)
Scaling Laws Revisited: Modeling the Role of Data Quality in Language Model Pretraining
by: Subramanyam, Anirudh, et al.
Published: (2025)
by: Subramanyam, Anirudh, et al.
Published: (2025)
Scaling Laws for Differentially Private Language Models
by: McKenna, Ryan, et al.
Published: (2025)
by: McKenna, Ryan, et al.
Published: (2025)
Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
by: Frasch, Martin G.
Published: (2026)
by: Frasch, Martin G.
Published: (2026)
Predicting Task Performance with Context-aware Scaling Laws
by: Montgomery, Kyle, et al.
Published: (2025)
by: Montgomery, Kyle, et al.
Published: (2025)
Observational Scaling Laws and the Predictability of Language Model Performance
by: Ruan, Yangjun, et al.
Published: (2024)
by: Ruan, Yangjun, et al.
Published: (2024)
Similar Items
-
Prescriptive Scaling Laws for Data Constrained Training
by: Lovelace, Justin, et al.
Published: (2026) -
Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic
by: Goyal, Sachin, et al.
Published: (2024) -
Improving the Scaling Laws of Synthetic Data with Deliberate Practice
by: Askari-Hemmat, Reyhane, et al.
Published: (2025) -
Perplexity-Aware Data Scaling Law: Perplexity Landscapes Predict Performance for Continual Pre-training
by: Liu, Lei, et al.
Published: (2025) -
Scaling Laws in Linear Regression: Compute, Parameters, and Data
by: Lin, Licong, et al.
Published: (2024)