capacity-allocation

The paper presents a two-level algorithm for allocating a conserved capacity budget across locations and service classes, proving it conserves the budget and converges in one iteration, and evaluates it for defending CDNs under volumetric attack.

本文揭示，在预训练过程中，语言模型会频繁且突然地在模式匹配与泛化行为之间切换，这种现象被称为“模式跳跃”（mode-hopping），并提出了一个用于研究该现象的小型评估套件。