标签
This paper analyzes why compression statistics for LLM pruning can be reproducible yet select suboptimal endpoints, introducing information boundaries and observation fibers to model the gap. It proposes group-resolved and model-specific mask selection methods that improve worst-group perplexity across dense LLMs and OLMoE.