arXiv cs.CL
· Papers
Domain-Aware Scaling Laws Uncover Data Synergy
arXiv:2607.11052v1 Announce Type: cross Abstract: Machine learning progress is often attributed to scaling model size and dataset volume, yet the composition of data can be just as consequential. Empirical findings repeatedly show that combining datasets from different domains yields nontrivial interactions. For instan