LoGo: Token-Level Dynamic Local-Global Attention
尚未评估计划受阻研究发现claim-architecture-ablations

The architecture ablation table reports that removing ContextNorm fails to converge, while additive fusion, auxiliary-loss budget control, and removing P-mask reduce the reported recall average relative to LoGo.

来源:paper-fixed:Section 4.4 and Table 5, p. 9

报告指标与观测值

recall_average

m-table5-logo-recall

论文报告 73.74 percentage_points

实际观测 — percentage_points

recall_average

m-table5-no-pmask-recall

论文报告 71.59 percentage_points

实际观测 — percentage_points

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