Unverified50% confidenceFactExact time
Mamba因选择性机制无法用卷积形式高效并行训练，转而依赖选择性扫描算法进行序列化计算
1
Sources
50%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedMamba的选择性扫描机制以O(L)复杂度处理任意长序列，但生成侧训练稳定性仍是活跃研究方向79% similarUnverifiedMamba的状态更新是序列化的，每个token的表示依赖于之前累积的状态，这在推理时是效率优势但在训练阶段带来优化困难72% similarUnverified追踪正念状态选MAAS（15题单维度），需要评估五个正念面向选FFMQ（39题）或简版FFMQ-15；MAAS只测'注意力当下觉察'，无法反映'不评判''不反应'等其他维度62% similarUnverifiedWhen model parameter scale exceeds certain thresholds, capabilities spontaneously appear that were never explicitly required by the training objective, such as few-shot reasoning, code generation, and multi-step planning.62% similarUnverified纯LLM探索模式在确定性任务上成功率难以保障，因每次推理存在随机性62% similar
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