04:00
2026-08-19
arxiv.org
machine-learning
Hierarchical Data Selection via Manifold Coverage and Sparse Feature Coverage in LLM Post-training
Researchers propose MASS, a hierarchical data selection method that uses manifold coverage and sparse feature coverage to improve LLM post-training efficiency. In experiments on Vision Flan and LLaVA-…