RippleKV allocates KV cache budgets across transformer layers by measuring how much perturbing each layer's value cache shifts the model's output distribution, and it reports the best average LongBench score among the compared compression methods at matched budgets.
InInternational Conference on Learning Representations, volume 2024, 21875–21895
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RippleKV: Cross-Layer KV Cache Allocation via Perturbation Propagation
RippleKV allocates KV cache budgets across transformer layers by measuring how much perturbing each layer's value cache shifts the model's output distribution, and it reports the best average LongBench score among the compared compression methods at matched budgets.