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The paper proposes Random Attention, a KV cache eviction method that uses random selection instead of scoring, matching selective methods while improving throughput in reasoning tasks.
Introduces Random Attention (RA), a lightweight temporal modeling module for mobile sleep staging that uses fixed random projections for similarity-based aggregation, achieving competitive performance with minimal additional parameters.