Author

Kangye Ji

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Jul 2026

Evolving Cache Schedules for Fast Diffusion Policy Inference

Empirical benchmarks show that EVO preserves near-full performance while substantially reducing computation, achieving up to 8.05x action-generation speedup and reducing FLOPs from 15.77G to as low as 1.96G.

Si Wang, Kangye Ji, Dixiang Wang et al. · arXiv.org · 1 citation