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Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning

166 upvotes · 3 SEP 2026 · Heng Wang, Jielin Qiu, Wenting Zhao et al.

This paper proposes a new method for managing the memory of large language models, called Random Attention, which improves their performance on tasks that require extended reasoning by reducing memory usage. Practitioners caring about efficient model deployment might find this approach useful.

language modelsKV cacheattention mechanismsmemory efficiencyreasoning tasks