04:00
2026-08-05
arxiv.org
large-language-models
When Compression Scores Cannot Decide: Information Boundaries for Group-Robust LLM Pruning
A new arXiv study (2608.02940v1) finds that a dense pruning score with 0.906 split-half reliability predicted a 16.1% gain but selected an endpoint 6.0% and 7.7% worse than two controls, modeling the …