Data Selection's Impact: A Look at Continued Pretraining for LLMs
Published:Dec 14, 2025 17:19
•1 min read
•ArXiv
Analysis
This ArXiv article examines the crucial role of data selection in refining Large Language Models through continued pretraining. The study likely explores various data filtering and augmentation techniques and analyzes their effects on model performance.
Key Takeaways
Reference
“The article's focus is on the impact of data selection during continued pretraining for LLMs, using Curió-Edu 7B as a case study.”