Unverified50% confidenceFactExact time
Traditional context parallelism methods (such as Ring Attention) typically require transmitting the full KV or its chunks at every layer, with communication volume growing linearly with context length.
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Long-term
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11/5/2026
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Unverified会话隔离机制中每个对话会话拥有独立的 KV 缓存(Key-Value Cache),不同用户的对话在内存层面严格隔离以防止信息泄露61% similarUnverifiedIn multi-turn conversations, the number of input tokens at the k-th turn grows linearly with k, and the cumulative input over the entire session grows quadratically (O(n²)) with the number of turns.60% similarUnverifiedFor linear attention, a teacher signal with complex nonlinear components is equivalent to a task that has only linear components but higher noise.59% similarUnverifiedThe three mainstream architectures for end-to-end speech recognition are CTC, attention-based, and RNN-Transducer.59% similarUnverifiedIn multi-turn Agent conversation scenarios, the number of input tokens grows linearly or even quadratically as the number of conversation turns increases.58% similar
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